CN108399508A - Smelter operating personnel is with safety cap validity integrated evaluating method - Google Patents
Smelter operating personnel is with safety cap validity integrated evaluating method Download PDFInfo
- Publication number
- CN108399508A CN108399508A CN201810241559.1A CN201810241559A CN108399508A CN 108399508 A CN108399508 A CN 108399508A CN 201810241559 A CN201810241559 A CN 201810241559A CN 108399508 A CN108399508 A CN 108399508A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- index
- safety cap
- level
- factor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000011156 evaluation Methods 0.000 claims abstract description 328
- 239000011159 matrix material Substances 0.000 claims abstract description 144
- 239000013598 vector Substances 0.000 claims abstract description 77
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 52
- 239000000470 constituent Substances 0.000 claims description 33
- 238000004519 manufacturing process Methods 0.000 claims description 30
- 229910052742 iron Inorganic materials 0.000 claims description 26
- 238000009865 steel metallurgy Methods 0.000 claims description 26
- 238000012360 testing method Methods 0.000 claims description 25
- 239000000203 mixture Substances 0.000 claims description 8
- 238000010276 construction Methods 0.000 claims description 6
- 230000001568 sexual effect Effects 0.000 claims description 6
- 238000000638 solvent extraction Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 231100001261 hazardous Toxicity 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000013139 quantization Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 241000406668 Loxodonta cyclotis Species 0.000 claims 1
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 206010019196 Head injury Diseases 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000009851 ferrous metallurgy Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Computer Security & Cryptography (AREA)
- Manufacturing & Machinery (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to smelter operating personnels with safety cap validity integrated evaluating method, including establishing with safety cap validity System of Comprehensive Evaluation, build evaluation index set of factors at different levels and weight sets, determine that evaluation indexes at different levels include the weight vectors and weight of factor using analytic hierarchy process (AHP), degree of membership of each three-level index to Comment gathers element is determined according to the Comment gathers of foundation, construct the jdgement matrix that each two-level index corresponds to three-level index, the weight vectors of jdgement matrix and the two-level index comprising factor that three-level index is corresponded to using second level index carry out primary fuzzy evaluation, two level and three-level fuzzy evaluation are carried out to first class index and evaluation goal successively, the safe class of evaluation goal is determined according to the three-level fuzzy evaluation results of evaluation goal.This method is compared with previous evaluation method, and to smelter more comprehensive, reasonable and accurate with safety cap efficiency evaluation, specific direction is being specified with safety cap validity to promote evaluation object.
Description
Technical field
The present invention be directed to Ferrous Metallurgy production site operation personnel to propose a kind of evaluation side with safety cap validity
Method belongs to data processing and evaluation field.
Background technology
In metallurgy industry, due to operating environment complexity, high-rise working and interchange operation are more so that play grievous hurt, height
Place falls hits Frequent Accidents with object, is injured caused by operating personnel head to reduce above-mentioned injury accident, therefore requires smelting
Golden enterprises production locale operating personnel must safe wearing cap.But due to some iron and steel metallurgy enterprises and production site operation personnel
It is insufficient to the understanding of safety cap effect so that some iron and steel metallurgy enterprise production site operation personnel are with safety cap using effect
It is bad, that there are safety caps is off quality, not safe wearing cap, incorrect safe wearing cap the problems such as, and have occurred a lot of
The accident that operating personnel head is damaged.Therefore, it is effectively to reduce due to iron and steel metallurgy enterprise production site operation personnel
Safety cap failure injury risk caused by operating personnel head, it is necessary to which production site operation personnel exist to iron and steel metallurgy enterprise
It is studied with safety cap validity.
Performance detection, increased quality, selection use and acclimation to heat are concentrated mainly on to the research of safety cap both at home and abroad at present
Several aspects such as property, not yet study on-site personnel with the efficiency evaluation of safety cap.Therefore, to avoid steel
Smelter production site operation personnel head injury caused by safety cap fails, needs to iron and steel metallurgy enterprise production scene
Operating personnel is carrying out system further investigation with safety cap efficiency evaluation.
Invention content
In order to solve above-mentioned technical problem, it is a kind of objective that the present invention provides, and efficiently, accuracy is higher with peace
Full cap validity integrated evaluating method；By the evaluation conclusion of this method, iron and steel metallurgy enterprise production site operation personnel are improved
In the countermeasuress with safety cap validity.
The purpose of the present invention is what is be achieved through the following technical solutions：Smelter operating personnel is with safety cap validity
Integrated evaluating method, it is characterised in that：Include the following steps：
(1) structure is with safety cap validity three-stage fuzzy logic index system；
(2) according to safety cap validity three-level Fuzzy Evaluation Index System, build evaluation index set of factors at different levels and
Weight sets；
(3) determine that evaluation indexes at different levels include the weight vectors and weight of factor using analytic hierarchy process (AHP)；
(4) Comment gathers of evaluation object are established；
(5) it according to the Comment gathers of foundation and the corresponding judgment criteria of each three-level index Comment gathers element, determines with safety
Degree of membership of each three-level index to Comment gathers element in cap efficiency evaluation system；
(6) is constructed by each two-level index and corresponds to commenting for three-level index for the degree of membership of Comment gathers element according to each three-level index
Sentence matrix, corresponds to the jdgement matrix of three-level index using second level index and weight that the two-level index includes three-level index factor
Vector carries out fuzzy operation, obtains primary fuzzy evaluation results, i.e. second level index Fuzzy evaluation result；
(7) is constructed by each first class index and corresponds to commenting for two-level index for the degree of membership of Comment gathers element according to each two-level index
Valence matrix corresponds to the evaluations matrix of two-level index and weight that the first class index includes two-level index factor using first order index
Vector carries out fuzzy operation, obtains two level fuzzy evaluation results, i.e. first order index Fuzzy evaluation result；
(8) according to each first class index to the degree of membership of Comment gathers element, construction evaluation goal corresponds to the evaluation of first class index
Matrix, the weight vectors that Utilization assessment target corresponds to the evaluations matrix of first class index and the evaluation goal includes first class index factor
Fuzzy operation is carried out, three-level fuzzy evaluation results, i.e. evaluation goal fuzzy evaluation results are obtained；
(9) according to the subordinated-degree matrix of the corresponding Comment gathers element of evaluation goal fuzzy evaluation results, in conjunction with corresponding evaluation
Target, i.e. evaluation system Comment gathers element security level reciprocal fraction determine the safe score of evaluation system, and then according to evaluation
The safe class of evaluation system is determined between system security partitioning residing for system safe score.
The step (1) is with safety cap validity three-stage fuzzy logic index system, as shown in table 1 below：
Table 1 is with safety cap validity evaluation index system
The building process of evaluation index set of factors at different levels and weight sets is as follows：
By 3 first class index：Safety cap use, safety cap quality, safety cap management, are defined as u1、u2、u3, constituent element
Integrate as U={ u1,u2,u3, corresponding weight sets is A={ a1,a2,a3}；
Wherein, first class index safety cap is using including 2 wearer's awareness of safety, safety cap wear condition two-level index,
They are respectively defined as u11、u12, i.e. constituent element collection U1={ u11,u12, corresponding weight sets is A1={ a11,a12}；
Two-level index wearer's awareness of safety includes safety cap understanding of importance, the related ' Current Knowledge Regarding of safety cap wearing
They are respectively defined as u by 2 three-level indexs111、u112, i.e. constituent element collection U11={ u111,u112, corresponding weight sets is
A11={ a111,a112}；
Two-level index safety cap wear condition factor includes production site operation personnel safety cap wear condition, production scene
Operating personnel's safety cap specification wear condition, Code in Hazardous Special Locations operating personnel's safety cap wear 3 three-level indexs of match condition, by it
Be respectively defined as u121、u122、u123, i.e. constituent element collection U12={ u121,u122,u123, corresponding weight sets is A12=
{a121,a122,a123}；
First class index safety cap quality includes helmet structure integrity, safety cap technical performance compliance, safety cap weight
It takes measurements 3 two-level index of suitability, they is respectively defined as u21、u22、u23, i.e. constituent element collection U2={ u21,u22,
u23, corresponding weight sets is A2={ a21,a22,a23}；
The intact sexual factor of two-level index helmet structure include cap shell integrity, hat lining integrity, chin belt integrity, its
They are respectively defined as u by his 4 three-level indexs of attachment integrity211、u212、u213、u214, i.e. constituent element collection U21={ u211,
u212,u213,u214, corresponding weight sets is A21={ a211,a212,a213,a214}；
Two-level index safety cap technical performance compliance factor includes that 2 three-levels of fundamental technology performance and property refer to
They are respectively defined as u by mark221、u222, i.e. constituent element collection U22={ u221,u222, corresponding weight sets is A22={ a221,
a222}；
Secondary safety cap weight and size includes safety cap weight suitability, safety cap size suitability 2 suitable for sexual factor
They are respectively defined as u by index231、u232, i.e. constituent element collection U23={ u231,u232, corresponding weight sets is A23=
{a231,a232}；
First class index safety cap management includes that manager payes attention to situation, safety cap management system is established and executive condition 2
They are respectively defined as u by two-level index31、u32, i.e. constituent element collection U3={ u31,u32, corresponding weight sets is A3=
{a31,a32}；
It includes manager's attention degree, safety cap buying link normalization, fund throwing that two-level index manager, which payes attention to situation,
Enter 3 three-level indexs, they are respectively defined as u311、u312、u313, i.e. constituent element collection U31={ u311,u312,u313, accordingly
Weight sets be A31={ a311,a312,a313}；
It includes that safety cap educational training system is established and executed that two-level index safety cap management system, which is established with executive condition,
Situation, safety cap Inspection and maintenance system are established to be established and 3 three fingers of executive condition with executive condition, operating personnel's feedback scheme
They are respectively defined as u by mark321、u322、u323, i.e. constituent element collection U32={ u321,u322,u323, corresponding weight sets is
A32={ a321,a322,a323}。
Determine that evaluation indexes at different levels include the weight vectors of factor and weight process includes following step using analytic hierarchy process (AHP)
Suddenly：
A, analytic hierarchy structure model is determined：
According to three-level assessment indicator system, set of factors and the weight sets of foundation, from high to low by respective factor membership
It is expressed as orderly recursive hierarchy structure, layer sorting, it is as shown in Figure 1 that tectonic remnant basin analyzes structural model；
Quantization judgement, Judgement Matricies are carried out to each factor relative importance in each level according to table 2：
I.e. the judgment matrix is indicated for last layer time certain factor, relative importance between the associated factor of this level
Compare.Such as A level factors akIncluding B1, B2..., BnEqual n index, that is, factor, then each index factor B1, B2..., BnFor
Evaluation goal, i.e. last layer factor akFor relative importance can Judgement Matricies it is as shown in table 3；As rule determines accordingly
Datum layer factor, i.e. first class index relative importance judgment matrix is as shown in table 4, other evaluation index factors at different levels constructions are sentenced
Disconnected matrix is also determined according to above-mentioned rule；
The scale that 2 each factor importance of table judges
3 step analysis judgment matrix of table
Table 4 datum layer factor (first class index) relative importance judgment matrix
B, weight vector is calculated
Index weights in order to obtain calculate the weight vectors of each judgment matrix, the i.e. spy of judgment matrix using root method
Sign vector.According to positive matrices theory, which has only Maximum characteristic root λmaxMeet with corresponding feature vector A public
Formula (1)：
BA=λmaxA (1)
Wherein, B=(bij)n×n, it is judgment matrix；
A=[a1,a2,···,an]T, it is the feature vector of judgment matrix, i.e. weight vector, single factor uiBy normalizing
Change treated weight aiIt is calculated using formula (2), (3) and (4) according to root method；
λmaxFor the maximum eigenvalue of judgment matrix, calculated using formula (5).
In formula (4), (BA)iIt is i-th of element of vectorial BA.
C, the consistency check of judgment matrix
Due to being influenced by various factors, the result of hierarchical ranking has to stringent consistency, therefore to carry out
Consistency check, with metric evaluation index weights judgment matrix, whether there is or not logical miss；Utilize formula (6) consistent with (7) calculating
Whether sex rate meets compatibility requirements with test and judge matrix；
In formula (6), CR is consistency ratio；
RI is random compatibility, i.e. coincident indicator, and value is referring to table 5；
5 random compatibility of table/coincident indicator RI values
When CI=0, matrix is fully compatible, and the compatibility of the bigger matrixes of CI is poorer.As CR ﹤ 0.1, it is believed that judge
Matrix meets the requirement of compatibility, otherwise needs to readjust judgment matrix until receiving；
Such as according to datum layer factor, i.e. first class index relative importance judgment matrix table 4, using formula (2), (3), (4),
Can be in the hope of the feature vector of the judgment matrix, i.e. weight vector is A=[0.637,0.105,0.258]T, asked using formula (5)
Obtain the maximum eigenvalue λ of the judgment matrixmax=3.04；It is 0.02 to recycle formula (7) to acquire CI, because of n=3, tables look-up 5
It is 0.52 to obtain RI, then can obtain CR=0.0385 according to formula (6)<0.1, i.e. the consistency of the judgment matrix can receive；
Similarly, the judgment matrix constructed according to other evaluation index factors at different levels, which is also calculated according to formula (1)~(7), to be determined
Its feature vector, i.e. weight vector and maximum eigenvalue, and carry out the consistency check of judgment matrix.
The weight of indexs at different levels is as shown in table 6 in the assessment indicator system determined using the above method；
The weight of indexs at different levels in 6 assessment indicator system of table
The process for the Comment gathers that the step (4) establishes evaluation object is as follows：
The set that the evaluation result that Comment gathers may be made by evaluation object is formed, is represented by：
V={ v1,v2,...,vm}
Wherein element vj(j=1,2 ..., m) it is several evaluation results that may be made；The purpose of fuzzy overall evaluation is just
It is, by considering its influence factor to evaluation object, a best evaluation result to be obtained from Comment gathers.Herein will
The opinion rating of evaluation object is divided into five etc., that is, the Comment gathers established are
V={ v1,v2,...,vm}={ v1,v2,v3,v4,v5}={ is good, preferably, generally, poor, poor }.
The step (5) determines process of the three-level index single factor test to Comment gathers element degree of membership：
It is individually evaluated from a factor, to determine subjection degree of the evaluation object to evaluate collection element, referred to as
Single factor test fuzzy evaluation.
If evaluation object presses i-th of factor u in set of factorsiIt is evaluated, to j-th of element v in evaluate collectionjBe subordinate to journey
Degree is rij, then i-th of factor u is pressediThe result of evaluation is represented by：
R={ ri1,ri2,...,rim}
R is known as single factor evaluation collection, it is the fuzzy subset on evaluate collection V；
According to the Comment gathers of foundation and the corresponding judgment criteria of each three-level index single factor test Comment gathers element, N, tissue is specially
Family is subordinate to Comment gathers element with each three-level index (single factor test) in safety cap efficiency evaluation system certain smelter
Degree is judged, and after normalized, determines the degree of membership of each three-level index (single factor test), as shown in table 7；
In 7 assessment indicator system of table in three-level index each single factor test degree of membership
The step (6) implements the second level index process of fuzzy evaluation, that is, carries out the process of primary fuzzy evaluation：
According to the single factor test of each three-level index to the degree of membership of Comment gathers element, each two-level index can be constructed and correspond to three
The jdgement matrix of grade index, as shown in formula (8).
It includes factor, i.e. three-level index to correspond to the jdgement matrix of three-level index and the two-level index using second level index
Weight vectors carry out fuzzy operation, primary fuzzy evaluation results, i.e. second level index Fuzzy evaluation result are obtained, such as formula (9)
It is shown.
Such as two-level index u11, the weight matrix vector of the factor that wearer's awareness of safety includes, i.e. three-level index composition
A11With jdgement matrix R11As follows：
A11=(0.833,0.167)
According to formula (9), it can be deduced that two-level index u11Wearer's awareness of safety is subordinate to Comment gathers/evaluate collection element
Spend matrix, i.e. vector B11For:
Similarly, subordinated-degree matrix of other two-level index to Comment gathers/evaluate collection element can be obtained by fuzzy operation,
It is i.e. vectorial, as shown in table 8；
The degree of membership of two-level index in 8 assessment indicator system of table
The step (7) implements the first order index process of fuzzy evaluation, that is, carries out the process of two level fuzzy evaluation：
According to each two-level index to the degree of membership of Comment gathers/evaluate collection element, each first class index can be constructed and correspond to two
The evaluations matrix of grade index, as shown in formula (10).
It includes factor, i.e. two-level index to correspond to the evaluations matrix of two-level index and the first class index using first order index
Weight vectors carry out fuzzy operation, two level fuzzy evaluation results, i.e. first order index Fuzzy evaluation result are obtained, such as formula (11)
It is shown.
Such as first class index u1, safety cap use comprising factor, i.e., two-level index composition weight matrix vector A1With comment
Valence matrix R1As follows：
A1=(0.750,0.250)
According to formula (11), it can be deduced that first class index u1Safety cap uses the degree of membership to Comment gathers/evaluate collection element
Matrix-vector B1For：
Similarly, subordinated-degree matrix vector of other first class index to Comment gathers element can be obtained by fuzzy operation, such as
Shown in table 9；
The degree of membership of first class index in 9 assessment indicator system of table
The step (8) is implementing fuzzy evaluation to evaluation goal, i.e. smelter operating personnel with safety cap validity
Process, that is, carry out three-level fuzzy evaluation process：
According to each first class index to the degree of membership of Comment gathers/evaluate collection element, evaluation goal can be constructed and correspond to level-one
The evaluations matrix of index, as shown in formula (12)；
Utilization assessment target corresponds to the evaluations matrix of first class index and the evaluation goal includes factor, the i.e. power of first class index
Weight vector carries out fuzzy operation, three-level fuzzy evaluation results, i.e. evaluation goal fuzzy evaluation results is obtained, such as formula (13) institute
Show.
Such as evaluation goal U, i.e., smelter operating personnel is in the factor for including with safety cap validity, i.e. first class index
The weight matrix of composition, i.e. vector A and evaluations matrix R are as follows：
A=(0.637,0.105,0.258)
According to formula (13), it can be deduced that evaluation goal U, i.e. smelter operating personnel are right with safety cap validity
The subordinated-degree matrix of Comment gathers/evaluate collection element, i.e. vector B are：
The step (9) determines evaluation goal, the i.e. method of evaluation system safe class：
To avoid determining that evaluation goal, i.e. evaluation system safe class do not consider to evaluate mesh according to maximum membership grade principle
Mark, i.e., evaluation system to Comment gathers other elements degree of membership to evaluation goal, the i.e. influence of evaluation system safe condition, can basis
Evaluation goal, i.e. evaluation system combine corresponding evaluation goal, i.e. evaluation system Comment gathers to the subordinated-degree matrix of Comment gathers element
Element security level reciprocal fraction determines evaluation goal, the i.e. safe score of evaluation system, and then according to evaluation goal, that is, evaluates
Evaluation goal, the i.e. safe class of evaluation system are determined between system security partitioning residing for system safe score.That is evaluation goal
Safe class can be determined by formula (14)；
F=B × ST (14)
F-evaluation goal/evaluation system safe class, i.e. total score in formula；
The subordinated-degree matrix of Comment gathers element can be calculated in B-evaluation goal (evaluation system) according to formula (13)；
STThe matrix that-Comment gathers element reciprocal fraction is constituted, Comment gathers element reciprocal fraction take safe class to take point table 10
In median；
10 safe class of table takes a point table
For example, being commented with safety cap validity certain iron and steel metallurgy enterprise operating personnel using Field Using Fuzzy Comprehensive Assessment
Valence obtains evaluation goal U, i.e., smelter operating personnel is in the degree of membership with safety cap Usefulness Pair Comment gathers/evaluate collection element
Matrix, i.e. vector B are:
B=(0.5066,0.3566,0.1177,0.0191,0.0000)
Obtain accordingly iron and steel metallurgy enterprise operating personnel with safety cap efficiency evaluation result according to degree of membership principle
It is represented by shown in table 11；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 11 are with safety cap efficiency evaluation degree of membership
According to formula (14), it can be deduced that evaluation system, i.e. iron and steel metallurgy enterprise production site operation personnel are with safety
The evaluation result F of cap validity is：
F=B × ST=0.5066 × 90+0.3566 × 70+0.1177 × 50+0.0191 × 30=77.014
According to 10,60 F=77.014≤80 ＜ of table, so certain iron and steel metallurgy enterprise production site operation personnel is with safety
Cap efficiency evaluation grade is " preferable "；
Similarly, it can be deduced that the safe class of the indexs at different levels of other in appraisement system is as shown in table 12；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 12 are with safety cap efficiency evaluation metrics evaluation knots at different levels
Fruit
Beneficial effects of the present invention：The present invention refers to the related standard of safety cap, makees in conjunction with iron and steel metallurgy enterprise production scene
Industry personnel safety cap wears actual conditions, is fully considered from safety cap use, safety cap quality, three broad aspect of safety cap management
In the influence factor with safety cap validity, establish with safety cap validity evaluation index system, which includes 3
A first class index, 7 two-level index, 19 three-level indexs.It establishes by analytic hierarchy process (AHP) and Fuzzy Comprehensive Evaluation method phase
In conjunction with iron and steel metallurgy enterprise production site operation personnel with safety cap validity model of fuzzy synthetic evaluation, in conjunction with safety cap
The result of calculation of each index weights of management factors, evaluation conclusion is formed by three-stage fuzzy logic.This method with it is previous
Evaluation method is compared, more system, objective and accurate.It is provided more entirely with safety cap efficiency evaluation for smelter
Face, reasonable and accurate evaluation method are lifted at for evaluation object and specify specific direction with safety cap validity.
Description of the drawings
Fig. 1 is appraisement system analytic hierarchy structure illustraton of model.
Specific implementation mode
The present invention provide a kind of smelter operating personnel with safety cap validity integrated evaluating method, construct with
Safety cap validity three-stage fuzzy logic index system.Since factor of evaluation is more complex, and most factors of evaluation are qualitative
Index has certain ambiguity and uncertainty, objective existing therefore, it is difficult to accurately be described with absolute " one or the other "
It is real, or even there is the bloomings of " being this or that " for individual factors of evaluation, and this ambiguity is difficult to use classical mathematics model
It is subject to Unified Metric.Field Using Fuzzy Comprehensive Assessment can be subordinate to grade situation to being evaluated things from multiple indexs and comprehensive comment
Sentence, on the one hand it can take the hierarchy of object into account division is made by the constant interval of judge things so that evaluation criterion,
The ambiguity of influence factor emerges from, while can give full play to the experience of people in evaluation again, keeps evaluation result more objective,
It tallies with the actual situation.Therefore, smelter production site operation personnel are selecting fuzzy synthesis to comment with safety cap efficiency evaluation
Valence method.
This evaluation method includes the following steps：
(1) structure is with safety cap validity three-stage fuzzy logic index system, as shown in table 1；
Table 1 is with safety cap validity evaluation index system
(2) according to safety cap validity three-level Fuzzy Evaluation Index System, build evaluation index set of factors at different levels and
Weight sets；
The building process of evaluation index set of factors at different levels and weight sets is as follows：
By 3 first class index：Safety cap use, safety cap quality, safety cap management, are defined as u1、u2、u3, constituent element
Integrate as U={ u1,u2,u3, corresponding weight sets is A={ a1,a2,a3}；
Wherein, first class index safety cap is using including 2 wearer's awareness of safety, safety cap wear condition two-level index,
They are respectively defined as u11、u12, i.e. constituent element collection U1={ u11,u12, corresponding weight sets is A1={ a11,a12}；
Two-level index wearer's awareness of safety includes safety cap understanding of importance, the related ' Current Knowledge Regarding of safety cap wearing
They are respectively defined as u by 2 three-level indexs111、u112, i.e. constituent element collection U11={ u111,u112, corresponding weight sets is
A11={ a111,a112}；
Two-level index safety cap wear condition factor includes production site operation personnel safety cap wear condition, production scene
Operating personnel's safety cap specification wear condition, Code in Hazardous Special Locations operating personnel's safety cap wear 3 three-level indexs of match condition, by it
Be respectively defined as u121、u122、u123, i.e. constituent element collection U12={ u121,u122,u123, corresponding weight sets is A12=
{a121,a122,a123}；
First class index safety cap quality includes helmet structure integrity, safety cap technical performance compliance, safety cap weight
It takes measurements 3 two-level index of suitability, they is respectively defined as u21、u22、u23, i.e. constituent element collection U2={ u21,u22,
u23, corresponding weight sets is A2={ a21,a22,a23}；
The intact sexual factor of two-level index helmet structure include cap shell integrity, hat lining integrity, chin belt integrity, its
They are respectively defined as u by his 4 three-level indexs of attachment integrity211、u212、u213、u214, i.e. constituent element collection U21={ u211,
u212,u213,u214, corresponding weight sets is A21={ a211,a212,a213,a214}；
Two-level index safety cap technical performance compliance factor includes that 2 three-levels of fundamental technology performance and property refer to
They are respectively defined as u by mark221、u222, i.e. constituent element collection U22={ u221,u222, corresponding weight sets is A22={ a221,
a222}；
Secondary safety cap weight and size includes safety cap weight suitability, safety cap size suitability 2 suitable for sexual factor
They are respectively defined as u by index231、u232, i.e. constituent element collection U23={ u231,u232, corresponding weight sets is A23=
{a231,a232}；
First class index safety cap management includes that manager payes attention to situation, safety cap management system is established and executive condition 2
They are respectively defined as u by two-level index31、u32, i.e. constituent element collection U3={ u31,u32, corresponding weight sets is A3=
{a31,a32}；
It includes manager's attention degree, safety cap buying link normalization, fund throwing that two-level index manager, which payes attention to situation,
Enter 3 three-level indexs, they are respectively defined as u311、u312、u313, i.e. constituent element collection U31={ u311,u312,u313, accordingly
Weight sets be A31={ a311,a312,a313}；
It includes that safety cap educational training system is established and executed that two-level index safety cap management system, which is established with executive condition,
Situation, safety cap Inspection and maintenance system are established to be established and 3 three fingers of executive condition with executive condition, operating personnel's feedback scheme
They are respectively defined as u by mark321、u322、u323, i.e. constituent element collection U32={ u321,u322,u323, corresponding weight sets is
A32={ a321,a322,a323}。
(3) determine that evaluation indexes at different levels include the weight vectors and weight of factor using analytic hierarchy process (AHP)；
Include the following steps：
A, analytic hierarchy structure model is determined：
According to three-level assessment indicator system, set of factors and the weight sets of foundation, from high to low by respective factor membership
It is expressed as orderly recursive hierarchy structure, layer sorting, it is as shown in Figure 1 that tectonic remnant basin analyzes structural model：
B, quantization judgement, Judgement Matricies are carried out to each factor relative importance in each level according to table 2：
I.e. the judgment matrix is indicated for last layer time certain factor, relative importance between the associated factor of this level
Compare.Such as A level factors akIncluding B1, B2..., BnEqual n index, that is, factor, then each index factor B1, B2..., BnFor
Evaluation goal, i.e. last layer factor akFor relative importance can Judgement Matricies it is as shown in table 3；As rule determines accordingly
Datum layer factor, i.e. first class index relative importance judgment matrix is as shown in table 4, other evaluation index factors at different levels constructions are sentenced
Disconnected matrix is also determined according to above-mentioned rule；
The scale that 2 each factor importance of table judges
3 step analysis judgment matrix of table
Table 4 datum layer factor (first class index) relative importance judgment matrix
C, weight vector is calculated
Index weights in order to obtain calculate the weight vectors of each judgment matrix, the i.e. spy of judgment matrix using root method
Sign vector.According to positive matrices theory, which has only Maximum characteristic root λmaxMeet with corresponding feature vector A public
Formula (1)：
BA=λmaxA (1)
Wherein, B=(bij)n×n, it is judgment matrix；
A=[a1,a2,···,an]T, it is the feature vector (weight vector) of judgment matrix, single factor uiBy normalization
Treated weight aiIt is calculated using formula (2), (3) and (4) according to root method；
λmaxFor the maximum eigenvalue of judgment matrix, calculated using formula (5).
In formula (4), (BA)iIt is i-th of element of vectorial BA.
D, the consistency check of judgment matrix
Due to being influenced by various factors, the result of hierarchical ranking has to stringent consistency, therefore to carry out
Consistency check, with metric evaluation index weights judgment matrix, whether there is or not logical miss；Utilize formula (6) consistent with (7) calculating
Whether sex rate meets compatibility requirements with test and judge matrix；
In formula (6), CR is consistency ratio；
RI is random compatibility (consistency) index, and value is referring to table 5；
Table 5 random compatibility (consistency) index RI values
When CI=0, matrix is fully compatible, and the compatibility of the bigger matrixes of CI is poorer.As CR ﹤ 0.1, it is believed that judge
Matrix meets the requirement of compatibility, otherwise needs to readjust judgment matrix until receiving；
Such as according to datum layer factor, i.e. first class index relative importance judgment matrix table 4, using formula (2), (3), (4),
Can be A=[0.637,0.105,0.258] in the hope of the feature vector (weight vector) of the judgment matrixT, acquired using formula (5)
The maximum eigenvalue λ of the judgment matrixmax=3.04；It is 0.02 to recycle formula (7) to acquire CI, because of n=3, tables look-up 5
RI is 0.52, then can obtain CR=0.0385 according to formula (6)<0.1, i.e. the consistency of the judgment matrix can receive；
Similarly, the judgment matrix constructed according to other evaluation index factors at different levels, which is also calculated according to formula (1)~(7), to be determined
Its feature vector, i.e. weight vector and maximum eigenvalue, and carry out the consistency check of judgment matrix.
The weight of indexs at different levels is as shown in table 6 in the assessment indicator system determined using the above method；
The weight of indexs at different levels in 6 assessment indicator system of table
(4) Comment gathers of evaluation object are established；Its process is as follows：
The set that the evaluation result that Comment gathers may be made by evaluation object is formed, is represented by：
V={ v1,v2,...,vm}
Wherein element vj(j=1,2 ..., m) it is several evaluation results that may be made；The purpose of fuzzy overall evaluation is just
It is, by considering its influence factor to evaluation object, a best evaluation result to be obtained from Comment gathers.Herein will
The opinion rating of evaluation object is divided into five etc., that is, the Comment gathers established are
V={ v1,v2,...,vm}={ v1,v2,v3,v4,v5}={ is good, preferably, generally, poor, poor }.
(5) according to the Comment gathers of foundation and each three-level index Comment gathers element, i.e., a certain single factor test corresponds in three-level index
Judgment criteria, determine that is, each single factor test is to Comment gathers element with each three-level index in safety cap efficiency evaluation system
Degree of membership；Its process is as follows：
It is individually evaluated from a factor, to determine subjection degree of the evaluation object to evaluate collection element, referred to as
Single factor test fuzzy evaluation.
If evaluation object presses i-th of factor u in set of factorsiIt is evaluated, to j-th of element v in evaluate collectionjBe subordinate to journey
Degree is rij, then i-th of factor u is pressediThe result of evaluation is represented by：
R={ ri1,ri2,...,rim}
R is known as single factor evaluation collection, it is the fuzzy subset on evaluate collection V.
According to the Comment gathers of foundation and the corresponding judgment criteria of each three-level index single factor test Comment gathers element, N, tissue is specially
Family is subordinate to Comment gathers element with each three-level index (single factor test) in safety cap efficiency evaluation system certain smelter
Degree is judged, and after normalized, determines the degree of membership of each three-level index (single factor test), as shown in table 7；Table 7 is evaluated
The degree of membership of three-level index (single factor test) in index system
(6) according to each three-level index, i.e., a certain single factor test is to the degree of membership of Comment gathers element, construction each two in three-level index
Grade index corresponds to the jdgement matrix of three-level index, and the jdgement matrix and the two-level index of three-level index are corresponded to using second level index
Including the weight vectors of three-level index factor carry out fuzzy operation, primary fuzzy evaluation results, i.e. second level index Fuzzy are obtained
Evaluation result；
Wherein, implement the process of fuzzy evaluation to second level index, that is, carry out the process of primary fuzzy evaluation：
According to each three-level index (single factor test) to the degree of membership of Comment gathers element, each two-level index can be constructed and correspond to three
The jdgement matrix of grade index, as shown in formula (8).
It includes factor (three-level index) to correspond to the jdgement matrix of three-level index and the two-level index using second level index
Weight vectors carry out fuzzy operation, primary fuzzy evaluation results (i.e. second level index Fuzzy evaluation result) are obtained, such as formula (9)
It is shown.
Such as two-level index u11, the weight matrix vector of the factor that wearer's awareness of safety includes, i.e. three-level index composition
A11With jdgement matrix R11As follows：
A11=(0.833,0.167)
According to formula (9), it can be deduced that two-level index u11Wearer's awareness of safety is subordinate to Comment gathers/evaluate collection element
Spend matrix, i.e. vector B11For:
Similarly, subordinated-degree matrix of other two-level index to Comment gathers (evaluate collection) element can be obtained by fuzzy operation
(vector), as shown in table 8；
The degree of membership of two-level index in 8 assessment indicator system of table
(7) is constructed by each first class index and corresponds to commenting for two-level index for the degree of membership of Comment gathers element according to each two-level index
Valence matrix corresponds to the evaluations matrix of two-level index and weight that the first class index includes two-level index factor using first order index
Vector carries out fuzzy operation, obtains two level fuzzy evaluation results, i.e. first order index Fuzzy evaluation result；
Implement the process of fuzzy evaluation to first order index, that is, carries out the process of two level fuzzy evaluation：
According to each two-level index to the degree of membership of Comment gathers (evaluate collection) element, each first class index can be constructed and correspond to two
The evaluations matrix of grade index, as shown in formula (10).
It includes factor (two-level index) to correspond to the evaluations matrix of two-level index and the first class index using first order index
Weight vectors carry out fuzzy operation, two level fuzzy evaluation results (i.e. first order index Fuzzy evaluation result) are obtained, such as formula
(11) shown in.
Such as first class index u1, safety cap use comprising factor, i.e., two-level index composition weight matrix vector A1With comment
Valence matrix R1As follows：
A1=(0.750,0.250)
According to formula (11), it can be deduced that first class index u1Safety cap uses the degree of membership to Comment gathers/evaluate collection element
Matrix-vector B1For：
Similarly, subordinated-degree matrix vector of other first class index to Comment gathers element can be obtained by fuzzy operation, such as
Shown in table 9；
The degree of membership of first class index in 9 assessment indicator system of table
(8) according to each first class index to the degree of membership of Comment gathers element, construction evaluation goal corresponds to the evaluation of first class index
Matrix, the weight vectors that Utilization assessment target corresponds to the evaluations matrix of first class index and the evaluation goal includes first class index factor
Fuzzy operation is carried out, three-level fuzzy evaluation results, i.e. evaluation goal fuzzy evaluation results are obtained；Its process is：According to each level-one
Index can construct the evaluations matrix that evaluation goal corresponds to first class index to the degree of membership of Comment gathers element, such as formula (12)
It is shown.
The power that Utilization assessment target corresponds to the evaluations matrix of first class index and the evaluation goal includes factor (first class index)
Weight vector carries out fuzzy operation, three-level fuzzy evaluation results (i.e. evaluation goal fuzzy evaluation results) is obtained, such as formula (13) institute
Show.
Such as evaluation goal U, i.e., smelter operating personnel is in the factor for including with safety cap validity, i.e. first class index
The weight matrix of composition, i.e. vector A and evaluations matrix R are as follows：
A=(0.637,0.105,0.258)
According to formula (13), it can be deduced that evaluation goal U, i.e. smelter operating personnel are right with safety cap validity
The subordinated-degree matrix of Comment gathers/evaluate collection element, i.e. vector B are：
(9) subordinated-degree matrix of Comment gathers element is combined according to evaluation goal (evaluation system) fuzzy evaluation results corresponding
Evaluation goal (evaluation system) Comment gathers element security level reciprocal fraction determines the safe score of evaluation goal (evaluation system),
And then evaluation goal (evaluation system) is determined between the system security partitioning residing for evaluation goal (evaluation system) safe score
Safe class；Detailed process is as follows：
To avoid determining that evaluation goal (evaluation system) safe class does not consider evaluation goal according to maximum membership grade principle
The influence of (evaluation system) to Comment gathers other elements degree of membership to evaluation goal (evaluation system) safe condition, can be according to evaluation
Target (evaluation system) pacifies the subordinated-degree matrix of Comment gathers element in conjunction with corresponding evaluation goal (evaluation system) Comment gathers element
Full rank reciprocal fraction determines the safe score of evaluation goal (evaluation system), and then according to evaluation goal (evaluation system) safety
The safe class of evaluation goal (evaluation system) is determined between system security partitioning residing for score value.That is evaluation goal (evaluation system)
Safe class can be determined by formula (14).
F=B × ST (14)
F-evaluation goal (evaluation system) safe class (total score) in formula；
The subordinated-degree matrix of Comment gathers element can be calculated in B-evaluation goal (evaluation system) according to formula (13)；
STThe matrix that-Comment gathers element reciprocal fraction is constituted, Comment gathers element reciprocal fraction take safe class to take point table 10
In median；
10 safe class of table takes a point table
For example, being commented with safety cap validity certain iron and steel metallurgy enterprise operating personnel using Field Using Fuzzy Comprehensive Assessment
Valence obtains evaluation goal U (smelter operating personnel with safety cap validity) to the degree of membership of Comment gathers (evaluate collection) element
Matrix (vector) B is:
B=(0.5066,0.3566,0.1177,0.0191,0.0000)
Obtain accordingly iron and steel metallurgy enterprise operating personnel with safety cap efficiency evaluation result according to degree of membership principle
It is represented by shown in table 11；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 11 are with safety cap efficiency evaluation degree of membership
According to formula (14), it can be deduced that (iron and steel metallurgy enterprise production site operation personnel are with safety cap for evaluation system
Validity) evaluation result F be：
F=B × ST=0.5066 × 90+0.3566 × 70+0.1177 × 50+0.0191 × 30=77.014
According to 10,60 F=77.014≤80 ＜ of table, so certain iron and steel metallurgy enterprise production site operation personnel is with safety
Cap efficiency evaluation grade is " preferable "；
Similarly, it can be deduced that the safe class of the indexs at different levels of other in appraisement system is as shown in table 12；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 12 are with safety cap efficiency evaluation metrics evaluation knots at different levels
Fruit
Above-mentioned evaluation result can reflect that evaluation system is being ensured with the general safety shape in terms of safety cap validity
The safe condition of condition and various aspects is providing specific direction to promote evaluation system with safety cap validity.
Claims (10)
1. smelter operating personnel is with safety cap validity integrated evaluating method, it is characterised in that：Include the following steps：
(1) structure is with safety cap validity three-stage fuzzy logic index system；
(2) according to safety cap validity three-level Fuzzy Evaluation Index System, evaluation index set of factors and weight at different levels are built
Collection；
(3) determine that evaluation indexes at different levels include the weight vectors and weight of factor using analytic hierarchy process (AHP)；
(4) Comment gathers of evaluation object are established；
(5) according to the Comment gathers of foundation and the corresponding judgment criteria of each three-level index Comment gathers element, determination has with safety cap
Degree of membership of each three-level index to Comment gathers element in effect property appraisement system；
(6) the judge square that each two-level index corresponds to three-level index is constructed to the degree of membership of Comment gathers element according to each three-level index
Battle array corresponds to the jdgement matrix of three-level index and weight vectors that the two-level index includes three-level index factor using second level index
Fuzzy operation is carried out, primary fuzzy evaluation results, i.e. second level index Fuzzy evaluation result are obtained；
(7) the evaluation square that each first class index corresponds to two-level index is constructed to the degree of membership of Comment gathers element according to each two-level index
Battle array corresponds to the evaluations matrix of two-level index and weight vectors that the first class index includes two-level index factor using first order index
Fuzzy operation is carried out, two level fuzzy evaluation results, i.e. first order index Fuzzy evaluation result are obtained；
(8) according to each first class index to the degree of membership of Comment gathers element, construction evaluation goal corresponds to the evaluations matrix of first class index,
The weight vectors that Utilization assessment target corresponds to the evaluations matrix of first class index and the evaluation goal includes first class index factor carry out
Fuzzy operation obtains three-level fuzzy evaluation results, i.e. evaluation goal fuzzy evaluation results；
(9) according to the subordinated-degree matrix of the corresponding Comment gathers element of evaluation goal fuzzy evaluation results, in conjunction with corresponding evaluation goal,
That is evaluation system Comment gathers element security level reciprocal fraction determines the safe score of evaluation system, and then is pacified according to evaluation system
The safe class of evaluation system is determined between system security partitioning residing for full score value.
2. smelter operating personnel according to claim 1 is with safety cap validity integrated evaluating method, feature
It is：The step (1) is with safety cap validity three-stage fuzzy logic index system, as shown in table 1 below：
Table 1 is with safety cap validity evaluation index system
3. smelter operating personnel according to claim 2 is with safety cap validity integrated evaluating method, feature
It is：
The building process of evaluation index set of factors at different levels and weight sets is as follows：
By 3 first class index：Safety cap use, safety cap quality, safety cap management, are defined as u1、u2、u3, constituent element collection is
U={ u1,u2,u3, corresponding weight sets is A={ a1,a2,a3}；
Wherein, first class index safety cap is using including 2 wearer's awareness of safety, safety cap wear condition two-level index, by it
Be respectively defined as u11、u12, i.e. constituent element collection U1={ u11,u12, corresponding weight sets is A1={ a11,a12}；
Two-level index wearer's awareness of safety includes safety cap understanding of importance, the related ' Current Knowledge Regarding 2 of safety cap wearing
They are respectively defined as u by three-level index111、u112, i.e. constituent element collection U11={ u111,u112, corresponding weight sets is A11
={ a111,a112}；
Two-level index safety cap wear condition factor includes production site operation personnel safety cap wear condition, production site operation
Personnel safety cap specification wear condition, Code in Hazardous Special Locations operating personnel's safety cap wear 3 three-level indexs of match condition, they are divided
U is not defined as it121、u122、u123, i.e. constituent element collection U12={ u121,u122,u123, corresponding weight sets is A12={ a121,
a122,a123}；
First class index safety cap quality includes helmet structure integrity, safety cap technical performance compliance, safety cap weight ruler
They are respectively defined as u by 3 two-level index of very little suitability21、u22、u23, i.e. constituent element collection U2={ u21,u22,u23, phase
The weight sets answered is A2={ a21,a22,a23}；
The intact sexual factor of two-level index helmet structure includes cap shell integrity, hat lining integrity, chin belt integrity, other are attached
They are respectively defined as u by 4 three-level indexs of part integrity211、u212、u213、u214, i.e. constituent element collection U21={ u211,u212,
u213,u214, corresponding weight sets is A21={ a211,a212,a213,a214}；
Two-level index safety cap technical performance compliance factor includes 2 three-level indexs of fundamental technology performance and property, will
They are respectively defined as u221、u222, i.e. constituent element collection U22={ u221,u222, corresponding weight sets is A22={ a221,a222}；
Secondary safety cap weight and size includes 2 safety cap weight suitability, safety cap size suitability indexs suitable for sexual factor,
They are respectively defined as u231、u232, i.e. constituent element collection U23={ u231,u232, corresponding weight sets is A23={ a231,
a232}；
First class index safety cap management includes that manager payes attention to situation, safety cap management system is established and 2 two levels of executive condition
They are respectively defined as u by index31、u32, i.e. constituent element collection U3={ u31,u32, corresponding weight sets is A3={ a31,
a32}；
It includes manager's attention degree, safety cap buying link normalization, fund input 3 that two-level index manager, which payes attention to situation,
They are respectively defined as u by three-level index311、u312、u313, i.e. constituent element collection U31={ u311,u312,u313, corresponding weight
Integrate as A31={ a311,a312,a313}；
Two-level index safety cap management system establish with executive condition include safety cap educational training system establish with executive condition,
Safety cap Inspection and maintenance system is established and executive condition, the foundation of operating personnel's feedback scheme and 3 three indexs of executive condition, by it
Be respectively defined as u321、u322、u323, i.e. constituent element collection U32={ u321,u322,u323, corresponding weight sets is A32=
{a321,a322,a323}。
4. smelter operating personnel according to claim 3 is with safety cap validity integrated evaluating method, feature
It is：
Determine that evaluation indexes at different levels include that the weight vectors of factor and weight process include the following steps using analytic hierarchy process (AHP)：
A, analytic hierarchy structure model is determined：
According to three-level assessment indicator system, set of factors and the weight sets of foundation, indicated from high to low by respective factor membership
For orderly recursive hierarchy structure, layer sorting, it is as shown in Figure 1 that tectonic remnant basin analyzes structural model；
Quantization judgement, Judgement Matricies are carried out to each factor relative importance in each level according to table 2：That is the judgment matrix
It indicates for last layer time certain factor, the comparison of relative importance between the associated factor of this level；Such as A level factors akPacket
Include B1, B2..., BnEqual n index, that is, factor, then each index factor B1, B2..., BnFor evaluation goal, i.e. last layer factor
akFor relative importance can Judgement Matricies it is as shown in table 3；Such as the datum layer factor that rule determines accordingly, i.e. level-one refers to
Mark relative importance judgment matrix is as shown in table 4, other evaluation index factor Judgement Matricies at different levels are also according to above-mentioned rule
It determines；
The scale that 2 each factor importance of table judges
3 step analysis judgment matrix of table
Table 4 datum layer factor (first class index) relative importance judgment matrix
B, weight vector is calculated
Index weights in order to obtain, calculate the weight vectors of each judgment matrix using root method, i.e., the feature of judgment matrix to
Amount；According to positive matrices theory, which has only Maximum characteristic root λmaxMeet formula with corresponding feature vector A
(1)：
BA=λmaxA (1)
Wherein, B=(bij)n×n, it is judgment matrix；
A=[a1,a2,…,an]T, it is the feature vector of judgment matrix, i.e. weight vector, single factor uiAfter normalized
Weight aiIt is calculated using formula (2), (3) and (4) according to root method；
λmaxFor the maximum eigenvalue of judgment matrix, calculated using formula (5)；
In formula (4), (BA)iIt is i-th of element of vectorial BA；
C, the consistency check of judgment matrix
Due to being influenced by various factors, the result of hierarchical ranking has to stringent consistency, therefore to carry out consistent
Property examine, with metric evaluation index weights judgment matrix, whether there is or not logical miss；Formula (6) and (7) is utilized to calculate consistency ratio
Whether rate meets compatibility requirements with test and judge matrix；
In formula (6), CR is consistency ratio；
RI is random compatibility, i.e. coincident indicator, and value is referring to table 5；
5 random compatibility of table/coincident indicator RI values
When CI=0, matrix is fully compatible, and the compatibility of the bigger matrixes of CI is poorer；As CR ﹤ 0.1, it is believed that judgment matrix
Meet the requirement of compatibility, otherwise needs to readjust judgment matrix until receiving；
It, can be with using formula (2), (3), (4) such as according to datum layer factor, i.e. first class index relative importance judgment matrix table 4
The feature vector of the judgment matrix is acquired, i.e. weight vector is A=[0.637,0.105,0.258]T, this is acquired using formula (5)
The maximum eigenvalue λ of judgment matrixmax=3.04；Recycle formula (7) acquire CI be 0.02, because of n=3, table look-up 5 R
I is 0.52, then can obtain CR=0.0385 according to formula (6)<0.1, i.e. the consistency of the judgment matrix can receive；
Similarly, the judgment matrix constructed according to other evaluation index factors at different levels also calculates according to formula (1)~(7) and determines that it is special
Sign vector, i.e. weight vector and maximum eigenvalue, and carry out the consistency check of judgment matrix；
The weight of indexs at different levels is as shown in table 6 in the assessment indicator system determined using the above method；
The weight of indexs at different levels in 6 assessment indicator system of table
5. smelter operating personnel according to claim 4 is with safety cap validity integrated evaluating method, feature
It is：The process for the Comment gathers that the step (4) establishes evaluation object is as follows：
The set that the evaluation result that Comment gathers may be made by evaluation object is formed, is represented by：
V={ v1,v2,...,vm}
Wherein element vj(j=1,2 ..., m) it is several evaluation results that may be made；The purpose of fuzzy overall evaluation is that logical
It crosses and its influence factor is considered to evaluation object, a best evaluation result is obtained from Comment gathers；Herein by evaluation pair
The opinion rating of elephant is divided into five etc., that is, the Comment gathers established are
V={ v1,v2,...,vm}={ v1,v2,v3,v4,v5}={ is good, preferably, generally, poor, poor }.
6. smelter operating personnel according to claim 5 is with safety cap validity integrated evaluating method, feature
It is：The step (5) determines process of the three-level index single factor test to Comment gathers element degree of membership：
It is individually evaluated from a factor, to determine evaluation object to the subjection degree of evaluate collection element, referred to as Dan Yin
Plain fuzzy evaluation；
If evaluation object presses i-th of factor u in set of factorsiIt is evaluated, to j-th of element v in evaluate collectionjSubjection degree be
rij, then i-th of factor u is pressediThe result of evaluation is represented by：
R={ ri1,ri2,...,rim}
R is known as single factor evaluation collection, it is the fuzzy subset on evaluate collection V；
According to the Comment gathers of foundation and the corresponding judgment criteria of each three-level index single factor test Comment gathers element, N experts couple are organized
Certain smelter with each three-level index (single factor test) in safety cap efficiency evaluation system to the degree of membership of Comment gathers element into
Row is judged, and after normalized, determines the degree of membership of each three-level index (single factor test), as shown in table 7；
In 7 assessment indicator system of table in three-level index each single factor test degree of membership
7. smelter operating personnel according to claim 6 is with safety cap validity integrated evaluating method, feature
It is：The step (6) implements the second level index process of fuzzy evaluation, that is, carries out the process of primary fuzzy evaluation：
According to the single factor test of each three-level index to the degree of membership of Comment gathers element, each two-level index can be constructed correspond to three-level and refer to
Target jdgement matrix, as shown in formula (8)；
It includes factor, the i.e. weight of three-level index to correspond to the jdgement matrix of three-level index and the two-level index using second level index
Vector carries out fuzzy operation, primary fuzzy evaluation results, i.e. second level index Fuzzy evaluation result is obtained, as shown in formula (9)；
Such as two-level index u11, the weight matrix vector A of the factor that wearer's awareness of safety includes, i.e. three-level index composition11With
Jdgement matrix R11As follows：
A11=(0.833,0.167)
According to formula (9), it can be deduced that two-level index u11Degree of membership square of wearer's awareness of safety to Comment gathers/evaluate collection element
Battle array, i.e. vector B11For:
Similarly, can obtain subordinated-degree matrix of other two-level index to Comment gathers/evaluate collection element by fuzzy operation, i.e., to
Amount, as shown in table 8；
The degree of membership of two-level index in 8 assessment indicator system of table
8. smelter operating personnel according to claim 7 is with safety cap validity integrated evaluating method, feature
It is：The step (7) implements the first order index process of fuzzy evaluation, that is, carries out the process of two level fuzzy evaluation：
According to each two-level index to the degree of membership of Comment gathers/evaluate collection element, each first class index can be constructed correspond to two level and refer to
Target evaluations matrix, as shown in formula (10)；
It includes factor, the i.e. weight of two-level index to correspond to the evaluations matrix of two-level index and the first class index using first order index
Vector carries out fuzzy operation, two level fuzzy evaluation results, i.e. first order index Fuzzy evaluation result is obtained, such as formula (11) institute
Show；
Such as first class index u1, safety cap use comprising factor, i.e., two-level index composition weight matrix vector A1With evaluation square
Battle array R1As follows：
A1=(0.750,0.250)
According to formula (11), it can be deduced that first class index u1Safety cap use to the subordinated-degree matrix of Comment gathers/evaluate collection element to
Measure B1For：
Similarly, subordinated-degree matrix vector of other first class index to Comment gathers element can be obtained by fuzzy operation, such as 9 institute of table
Show；
The degree of membership of first class index in 9 assessment indicator system of table
9. smelter operating personnel according to claim 8 is with safety cap validity integrated evaluating method, feature
It is：The step (8) is to evaluation goal, i.e., smelter operating personnel is in the mistake for implementing fuzzy evaluation with safety cap validity
Journey carries out the process of three-level fuzzy evaluation：
According to each first class index to the degree of membership of Comment gathers/evaluate collection element, evaluation goal can be constructed and correspond to first class index
Evaluations matrix, as shown in formula (12)；
Utilization assessment target correspond to first class index evaluations matrix and the evaluation goal include factor, i.e., the weight of first class index to
Amount carries out fuzzy operation, three-level fuzzy evaluation results, i.e. evaluation goal fuzzy evaluation results is obtained, as shown in formula (13)；
Such as evaluation goal U, i.e. smelter operating personnel form in the factor for including with safety cap validity, i.e. first class index
Weight matrix, i.e. vector A and evaluations matrix R be as follows：
A=(0.637,0.105,0.258)
According to formula (13), it can be deduced that evaluation goal U, i.e. smelter operating personnel are with safety cap validity, to comment
The subordinated-degree matrix of collection/evaluate collection element, i.e. vector B are：
10. smelter operating personnel according to claim 9 is with safety cap validity integrated evaluating method, feature
It is：The step (9) determines evaluation goal, the i.e. method of evaluation system safe class：
To avoid determining that evaluation goal, i.e. evaluation system safe class do not consider evaluation goal according to maximum membership grade principle, i.e.,
Evaluation system to Comment gathers other elements degree of membership to evaluation goal, the i.e. influence of evaluation system safe condition, can be according to evaluation
Target, i.e. evaluation system combine corresponding evaluation goal, i.e. evaluation system Comment gathers element to the subordinated-degree matrix of Comment gathers element
Security level reciprocal fraction determines evaluation goal, the i.e. safe score of evaluation system, and then according to evaluation goal, i.e. evaluation system
Evaluation goal, the i.e. safe class of evaluation system are determined between system security partitioning residing for safe score；That is evaluation goal safety
Grade can be determined by formula (14)；
F=B × ST (14)
F-evaluation goal/evaluation system safe class, i.e. total score in formula；
The subordinated-degree matrix of Comment gathers element can be calculated in B-evaluation goal (evaluation system) according to formula (13)；
STThe matrix that-Comment gathers element reciprocal fraction is constituted, Comment gathers element reciprocal fraction take safe class to take in point table 10
Median；
10 safe class of table takes a point table
For example, with safety cap validity evaluate to certain iron and steel metallurgy enterprise operating personnel using Field Using Fuzzy Comprehensive Assessment
Go out evaluation goal U, i.e., smelter operating personnel is in the degree of membership square with safety cap Usefulness Pair Comment gathers/evaluate collection element
Battle array, i.e. vector B are：
B=(0.5066,0.3566,0.1177,0.0191,0.0000)
Iron and steel metallurgy enterprise operating personnel is obtained accordingly can table according to degree of membership principle with safety cap efficiency evaluation result
It is shown as shown in table 11；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 11 are with safety cap efficiency evaluation degree of membership
According to formula (14), it can be deduced that evaluation system, i.e. iron and steel metallurgy enterprise production site operation personnel have with safety cap
Effect property evaluation result F be：
F=B × ST=0.5066 × 90+0.3566 × 70+0.1177 × 50+0.0191 × 30=77.014
According to 10,60 F=77.014≤80 ＜ of table, so certain iron and steel metallurgy enterprise production site operation personnel has with safety cap
Effect property opinion rating is " preferable "；
Similarly, it can be deduced that the safe class of the indexs at different levels of other in appraisement system is as shown in table 12；
Certain the iron and steel metallurgy enterprise production site operation personnel of table 12 are with safety cap efficiency evaluation metrics evaluation results at different levels
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810241559.1A CN108399508A (en) | 2018-03-22 | 2018-03-22 | Smelter operating personnel is with safety cap validity integrated evaluating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810241559.1A CN108399508A (en) | 2018-03-22 | 2018-03-22 | Smelter operating personnel is with safety cap validity integrated evaluating method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108399508A true CN108399508A (en) | 2018-08-14 |
Family
ID=63093061
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810241559.1A Pending CN108399508A (en) | 2018-03-22 | 2018-03-22 | Smelter operating personnel is with safety cap validity integrated evaluating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108399508A (en) |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109214696A (en) * | 2018-09-18 | 2019-01-15 | 广东电网有限责任公司 | Electric power pylon foundation structure maintaining method |
| CN109214694A (en) * | 2018-09-18 | 2019-01-15 | 中国电力科学研究院有限公司 | A kind of grid company carbon emission reduction methods of risk assessment based on fuzzy overall evaluation |
| CN109409768A (en) * | 2018-11-12 | 2019-03-01 | 广东工业大学 | The method for early warning of transport truck |
| CN109472499A (en) * | 2018-11-15 | 2019-03-15 | 国网湖南省电力有限公司 | A kind of substation equipment maintenance and repair operation field quality evaluating method |
| CN110347972A (en) * | 2019-06-13 | 2019-10-18 | 西安交通大学 | The weight sets of electromechanical special safety equipment assessment indicator system combines quantization method |
| CN110991851A (en) * | 2019-11-27 | 2020-04-10 | 安徽建筑大学 | Energy effectiveness evaluation method for building space environment equipment |
| CN111027017A (en) * | 2019-11-15 | 2020-04-17 | 国网上海市电力公司 | Comprehensive evaluation system for power distribution network management state |
| CN111428979A (en) * | 2020-03-18 | 2020-07-17 | 天津城建大学 | Public building operation energy efficiency comprehensive evaluation model based on input-output method |
| CN111768057A (en) * | 2019-04-02 | 2020-10-13 | 中国农业大学 | DAS protection effect evaluation method and device |
| CN111798146A (en) * | 2020-07-09 | 2020-10-20 | 中国第一汽车股份有限公司 | Method for evaluating performance of fuel cell engine |
| CN112381364A (en) * | 2020-10-30 | 2021-02-19 | 浪潮云信息技术股份公司 | Comprehensive evaluation method for food quality spot check |
| CN112434931A (en) * | 2020-11-20 | 2021-03-02 | 首钢京唐钢铁联合有限责任公司 | Evaluation method for operation index of measurement management system |
| CN112488727A (en) * | 2019-08-21 | 2021-03-12 | 西安高压电器研究院有限责任公司 | Product authentication method and related device |
| CN112668830A (en) * | 2020-11-20 | 2021-04-16 | 国网湖南省电力有限公司 | Multilayer fuzzy assessment method for transformer substation operation risk |
| CN112950022A (en) * | 2021-03-01 | 2021-06-11 | 上海应用技术大学 | Road surface condition comprehensive evaluation method based on fuzzy comprehensive evaluation method |
| CN113469420A (en) * | 2021-06-15 | 2021-10-01 | 国家电网公司华中分部 | Electric power energy structure evaluation optimization method for multi-element power supply system |
| CN113627767A (en) * | 2021-08-02 | 2021-11-09 | 华中科技大学 | Commercial vehicle seat comfort evaluation method |
| CN113743817A (en) * | 2021-09-14 | 2021-12-03 | 福建三钢闽光股份有限公司 | Enterprise credit rating evaluation method based on cloud platform |
| CN114971282A (en) * | 2022-05-26 | 2022-08-30 | 中铁第一勘察设计院集团有限公司 | Method and device for scoring technical condition of assembly type paving system and storage medium |
| CN115376072A (en) * | 2022-10-21 | 2022-11-22 | 安徽博诺思信息科技有限公司 | Transformer substation construction site operation safety monitoring method |
-
2018
- 2018-03-22 CN CN201810241559.1A patent/CN108399508A/en active Pending
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109214694A (en) * | 2018-09-18 | 2019-01-15 | 中国电力科学研究院有限公司 | A kind of grid company carbon emission reduction methods of risk assessment based on fuzzy overall evaluation |
| CN109214696A (en) * | 2018-09-18 | 2019-01-15 | 广东电网有限责任公司 | Electric power pylon foundation structure maintaining method |
| CN109409768A (en) * | 2018-11-12 | 2019-03-01 | 广东工业大学 | The method for early warning of transport truck |
| CN109472499A (en) * | 2018-11-15 | 2019-03-15 | 国网湖南省电力有限公司 | A kind of substation equipment maintenance and repair operation field quality evaluating method |
| CN111768057A (en) * | 2019-04-02 | 2020-10-13 | 中国农业大学 | DAS protection effect evaluation method and device |
| CN110347972A (en) * | 2019-06-13 | 2019-10-18 | 西安交通大学 | The weight sets of electromechanical special safety equipment assessment indicator system combines quantization method |
| CN112488727A (en) * | 2019-08-21 | 2021-03-12 | 西安高压电器研究院有限责任公司 | Product authentication method and related device |
| CN111027017A (en) * | 2019-11-15 | 2020-04-17 | 国网上海市电力公司 | Comprehensive evaluation system for power distribution network management state |
| CN111027017B (en) * | 2019-11-15 | 2024-04-09 | 国网上海市电力公司 | Comprehensive evaluation system for management state of power distribution network |
| CN110991851B (en) * | 2019-11-27 | 2022-09-27 | 安徽建筑大学 | Energy effectiveness evaluation method for building space environment equipment |
| CN110991851A (en) * | 2019-11-27 | 2020-04-10 | 安徽建筑大学 | Energy effectiveness evaluation method for building space environment equipment |
| CN111428979A (en) * | 2020-03-18 | 2020-07-17 | 天津城建大学 | Public building operation energy efficiency comprehensive evaluation model based on input-output method |
| CN111798146A (en) * | 2020-07-09 | 2020-10-20 | 中国第一汽车股份有限公司 | Method for evaluating performance of fuel cell engine |
| CN112381364A (en) * | 2020-10-30 | 2021-02-19 | 浪潮云信息技术股份公司 | Comprehensive evaluation method for food quality spot check |
| CN112668830A (en) * | 2020-11-20 | 2021-04-16 | 国网湖南省电力有限公司 | Multilayer fuzzy assessment method for transformer substation operation risk |
| CN112434931A (en) * | 2020-11-20 | 2021-03-02 | 首钢京唐钢铁联合有限责任公司 | Evaluation method for operation index of measurement management system |
| CN112950022A (en) * | 2021-03-01 | 2021-06-11 | 上海应用技术大学 | Road surface condition comprehensive evaluation method based on fuzzy comprehensive evaluation method |
| CN113469420A (en) * | 2021-06-15 | 2021-10-01 | 国家电网公司华中分部 | Electric power energy structure evaluation optimization method for multi-element power supply system |
| CN113627767A (en) * | 2021-08-02 | 2021-11-09 | 华中科技大学 | Commercial vehicle seat comfort evaluation method |
| CN113743817A (en) * | 2021-09-14 | 2021-12-03 | 福建三钢闽光股份有限公司 | Enterprise credit rating evaluation method based on cloud platform |
| CN114971282A (en) * | 2022-05-26 | 2022-08-30 | 中铁第一勘察设计院集团有限公司 | Method and device for scoring technical condition of assembly type paving system and storage medium |
| CN115376072A (en) * | 2022-10-21 | 2022-11-22 | 安徽博诺思信息科技有限公司 | Transformer substation construction site operation safety monitoring method |
| CN115376072B (en) * | 2022-10-21 | 2023-01-06 | 安徽博诺思信息科技有限公司 | Transformer substation construction site operation safety monitoring method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108399508A (en) | Smelter operating personnel is with safety cap validity integrated evaluating method | |
| CN104200076B (en) | A kind of Athletes damage risk method for early warning | |
| CN106096838A (en) | Building fire safety evaluation method based on model of fuzzy synthetic evaluation and system | |
| CN110400087A (en) | Based on the elevator safety guard system evaluation method for improving weight and variable fuzzy sets | |
| CN109146158A (en) | A kind of Alpine Meadow ecosystem health analysis method, computer | |
| CN110175763A (en) | Objective multiple attribute decision making (MADM) quality of voltage evaluation method based on fuzzy evaluation model | |
| CN103700029A (en) | Establishing method for post-evaluation index system for power grid construction project | |
| CN104503406A (en) | Optimized operation evaluation system and method for thermal power plant | |
| CN111950782A (en) | Power market scheduling method based on fuzzy evaluation | |
| CN108876146A (en) | A kind of electric network data class assets management method and system | |
| CN113627747A (en) | Assessment and evaluation method and system for virtual maintenance training process | |
| CN116862283A (en) | Method and system for evaluating and controlling environment of aged people | |
| CN103488911A (en) | Investment risk assessment method of photovoltaic power generation project | |
| CN108073748A (en) | A kind of guided missile damage effects group decision appraisal procedure based on intuitionistic fuzzy entropy weight method | |
| Singh et al. | Fuzzy cognitive maps based cricket player performance evaluator | |
| Zhao et al. | Wrestling performance prediction based on improved RBF neural network | |
| CN113191627A (en) | Improved composite weighting-based multi-dimensional comprehensive evaluation method for power distribution network construction | |
| Zhu et al. | Safety evaluation of human accidents in coal mine based on ant colony optimization and SVM | |
| Li et al. | An Algorithm for Comprehensive Evaluation of College Students' Physical Quality | |
| Anwar et al. | Neutrosophic MCDM approach for performance evaluation and recommendation of best players in sports league | |
| Didi et al. | Safety evaluation of high speed railway LTE-R communication system based on AHP and fuzzy comprehensive evaluation | |
| Huang et al. | Concept evaluation based on fuzzy analytic hierarchy process | |
| Li | Research on Evaluation Index and Index System of Athletes' Physical Fitness Training Based on Data Mining | |
| CN108600361A (en) | A kind of sports monitoring method and system | |
| Jinguo | Research on the Evaluation Index System of Sports Enterprise Informationization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180814 |