CN109615185A - An Evaluation Method of Unit Quality Assurance Capability Based on Fuzzy Analytic Hierarchy Process - Google Patents
An Evaluation Method of Unit Quality Assurance Capability Based on Fuzzy Analytic Hierarchy Process Download PDFInfo
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Abstract
本发明提供一种基于模糊层次分析法的单位质量保证能力评价方法,其具体步骤是：一、将单位质量保证能力分解，初步建立单位质量保证评价框架；二、继续考察底层指标，建立单位质量保证能力评价体系；三、明确各底层指标具体定义与计算方法；四、应用三角模糊评价方法，计算标体系各节点权重；五、建立单位质量保证能力六级评价准则；六、将底层指标得分归一化，并自下向上计算单位质量保证能力得分；七、结合评价准则与底层数据情况，给出单位质量保证能力的评价与分析。本发明有效应用了底层定量质量数据，有效解决了主观判断导致评价结果准确度低的问题，在质量管理证领域有广阔的应用前景。
The invention provides a unit quality assurance capability evaluation method based on a fuzzy analytic hierarchy process, and its specific steps are: first, decompose the unit quality assurance capability, and initially establish a unit quality assurance evaluation framework; second, continue to inspect the underlying indicators to establish the unit quality Guarantee ability evaluation system; 3. Clarify the specific definition and calculation method of each underlying index; 4. Apply triangular fuzzy evaluation method to calculate the weight of each node of the target system; 5. Establish six-level evaluation criteria for unit quality assurance ability; 6. Score the underlying index Normalize and calculate the unit's quality assurance ability score from bottom to top; 7. Combine the evaluation criteria and the underlying data to give the evaluation and analysis of the unit's quality assurance ability. The invention effectively uses the underlying quantitative quality data, effectively solves the problem of low accuracy of evaluation results caused by subjective judgment, and has broad application prospects in the field of quality management certificates.
Description
Technical field
The present invention provides a kind of, and the unit mass based on Fuzzy AHP guarantees ability evaluation method, belongs to quality
Management domain.
Background technique
With the continuous promotion of defense-related science, technology and industry to make constant progress and future war requires weaponry,
Vast military product research institute, China must have powerful assurance ability as premise.Current China is accelerating to build
If equipment informatization, military weapon equipment rising to across the epoch from industrial age to the information age is realized.Propulsion is spoken with data
Fining quality management increasingly become military enterprise, the especially inexorable trend of high, refined, peak products research institute.Therefore, right
It is very urgent that unit mass guarantees that ability quantitative assessment problem break through.However, being applied at present to by all kinds of quality informations
In the related work and research of research institute's assurance ability overall merit, quantification degree is generally unsatisfactory,
And that there are all kinds of quality capability information is intermixed, the case where overlapping each other, this all will lead in evaluation result containing biggish
Uncertainty, this guarantees that the accurate evaluation of ability and related analysis decision constitute very big threat to unit mass.
In view of the foregoing drawbacks, this patent proposes that a kind of unit mass based on Fuzzy AHP guarantees merit rating side
Unit mass is guaranteed that ability is decomposed first by method, is tentatively established unit mass and is guaranteed evaluation frame；Investigation bottom is continued thereafter with to refer to
Mark establishes unit mass and guarantees ability appraisement system, specify each bottom index and be specifically defined and calculation method, and applies Triangle Module
It pastes evaluation method and calculates each node weights of mark system, then set up unit mass and guarantee six grades of interpretational criterias of ability, by the bottom of by
Layer index Score Normalization, and bottom-up unit of account assurance ability score, final combining assessment criterion and bottom number
According to situation, evaluation and analysis that unit mass guarantees ability are provided.The present invention provides a kind of based on Fuzzy AHP
Unit mass guarantees ability evaluation method, effectively applies bottom and quantifies qualitative data, efficiently solving subjective judgement causes to comment
The low problem of valence result precision.
Summary of the invention
(1) purpose of the present invention:
Guarantee that excessive subjective judgement causes evaluation result accuracy low in ability evaluation problem for current unit mass
Defect, the unit mass that the invention proposes a kind of based on Fuzzy AHP guarantees ability evaluation method, first will be single
Position assurance ability is decomposed, and is tentatively established unit mass and is guaranteed evaluation frame；It continues thereafter with and investigates bottom index, establish unit
Assurance ability appraisement system is specified each bottom index and is specifically defined and calculation method, and applies triangle fuzzy assessment method
Each node weights of mark system are calculated, unit mass is then set up and guarantees six grades of interpretational criterias of ability, by by bottom index score
Normalization, and bottom-up unit of account assurance ability score, final combining assessment criterion and bottom data situation, provide
The evaluation and analysis of unit mass guarantee ability.
(2) technical solution:
The present invention is a kind of unit mass guarantee ability evaluation method based on Fuzzy AHP, the vacation substantially of proposition
If as follows:
Assuming that 1 internal institution qualitative data is available and true and reliable
(1) based on above-mentioned it is assumed that a kind of unit mass based on Fuzzy AHP proposed by the present invention guarantees ability
Evaluation method, its step are as follows:
Unit mass is guaranteed that ability is decomposed by step 1, is tentatively established unit mass and is guaranteed evaluation frame；
Step 2 continues to investigate bottom index, establishes unit mass and guarantees ability appraisement system；
Clearly each bottom index of step 3 is specifically defined and calculation method；
Step 4 applies triangle fuzzy assessment method, calculates each node weights of mark system；
Step 5 establishes unit mass and guarantees six grades of interpretational criterias of ability；
Step 6 is by bottom index Score Normalization, and bottom-up unit of account assurance ability score；
Step 7 combining assessment criterion and bottom data situation provide evaluation and analysis that unit mass guarantees ability；
Wherein, " unit mass is guaranteed that ability is decomposed described in step 1, unit mass is tentatively established and guarantees evaluation frame
Frame " refers to and evaluates demand according to equipment preparation, production and the assurance ability of test unit, considers that design scheme can expire
The degree of sufficient customer demand, the product of production meet the degree of design standard requirement, and the certified product and pattern of batch production try
The factors such as the consistent degree of sample are tested, unit mass is guaranteed that ability overall objective preliminary exposition refers to for second levels at different levels with three-level
Mark；Specifically, two-level index includes organizational capacity, managerial ability, technical capability and enabling capabilities；Further, energy is organized
Include the three-level index composition of trained personnel, training and examination under power, includes the program evaluation and review of three-level index, management plan, skill under managerial ability
Include the identification of three-level index demand, design analysis, test evaluation, operational support under art ability, refers under enabling capabilities including three-level
Mark supply-side management, information management, facilities and equipment.
Wherein, " continue to investigate bottom index, establish unit mass and guarantee ability appraisement system " described in step 2, be
On the basis of systematicness, consistency, independence, measurability, principle of comparability, each bottom index can be further investigated, is selected
Crucial, being easy to count, quantitative parameter index is taken, screens and improve bottom on the basis of taking into account feasibility and correctness
Index, and then complete the final determination that unit mass guarantees ability appraisement system；Specifically, being wrapped under three-level index training and examination
It includes level Four index technical staff and trains number, rate of taking appointment with certificate per capita, include level Four index's quality under the three-level index composition of trained personnel
Engineers and technicians' specific gravity, technical staff's turnover rate, include under three-level index management plan level Four index's quality target completion rate,
File management statistical items, quality work completion rate of the plan, comprehensive Non-Compliance ratio include four under three-level index program evaluation and review
Grade index Design evaluates average problem number and quality review be averaged problem number, lower three-level index demand identification includes the production of level Four index
Product and service request Non-Compliance ratio, customer satisfaction, lower three-level index Design analysis includes level Four index professional technique machine
Structure qualification, personnel's hierarchy of skill, new technology patent application rate, design and exploitation Non-Compliance ratio, the evaluation of three-level index Test
It down include level Four index Critical to quality verifying rate, inspection and rig for testing specific gravity, success of the test rate, three-level index uses guarantor
Barrier it is lower including level Four index production process Non-Compliance ratio, product repair rate, primary hand over inspection qualification rate, mass loss rate, again
Big quality accident number includes level Four index on-time-delivery rate, average qualification rate, three-level indication information under three-level index supply-side management
Lower management includes level Four index's quality information computerization rate, tie rod pending accounts zero rate, includes level Four under three-level index equipment facility
Index investment in technological upgrading completion rate, equipment update completion rate of the plan, completion rate, equipment qualification rate, equipment fault is transformed in equipment repair
Outage rate.Finally, including 1 first class index (unit mass guarantee ability), 4 two-level index, 11 three-level indexs and 33
The unit mass of level Four index guarantees that ability appraisement system is finally set up.
Wherein, " clearly each bottom index is specifically defined and calculation method " described in step 3, refer to according to unit reality
Situation specifies the requirement such as definition, calculation method, data statistics range and frequency acquisition of each bottom index, is subsequent bottom
Index calculating is laid a solid foundation；Specifically, " definition " refers to the physical connotation and practical significance for determining whole bottom indexs,
" calculation method " refers to accurate quantification calculation formula or model, and " the data statistics range " refers to each bottom layer quality
Place, scene and the level that data generate, " frequency acquisition " refers to the time frequency requirement to bottom data collecting work.
Wherein, " triangle fuzzy assessment method is applied, each node weights of mark system are calculated " described in step 4, refers to and builds
The vertical right assessment expert group containing 6-8 quality control specialists, according to backgrounds such as professional qualification, the length of service, working experiences, to every
Expertise significance level carries out marking evaluation, minimum 1 point, up to 5 points；Then, every expert should be according to index body
Be it is bottom-up, selection is determined with the relative Link Importances of interlayer two indices every time, and fills in fuzzy evaluating matrix, is evaluated
Mode is as follows: if same layer index j is extremely important in index i, corresponding to Triangular Fuzzy Number is (0.1,0.1,0.2)；If index j is bright
Aobvious to be important to index i, then corresponding to Triangular Fuzzy Number is (0.2,0.3,0.4)；If index j no less important corresponds to three in index i
Angle fuzzy number is (0.4,0.5,0.6)；If index i is obviously important to index j, correspond to Triangular Fuzzy Number be (0.6,0.7,
0.8)；If index i is extremely important in index j, corresponding to Triangular Fuzzy Number is (0.8,0.9,0.9)；Obtaining P different experts
After the Complementary Judgement Matrix of important relationship Q different elements, the authority of different experts is considered, it is fuzzy to all triangles mutual
It mends judgment matrix and is weighted combination, obtain weighting triangle Fuzzy Complementary Judgment Matrices A
A=(aij)n×n；
Wherein, aij=(alij,amij,auij),
Calculation are as follows:
Wherein, wpFor the authority of pth position expert, apij=(aplij,apmij,apuij) be that pth position expert provides i-th
Different degree Triangular Fuzzy Number of the node about j-th of node；When meeting coherence request, can be obtained using simple additive weight
Each node weights fuzzy number Ci, calculating process is as follows:
Then, by CiIt is expressed as Ci=(Cli,Cmi,Cui),
Its desired value is asked to the Triangular Fuzzy Number of weightHere generally take λ=
0.5；Finally, the weight coefficient of each node can be obtained by normalization
Wherein, it " establishes unit mass described in step 5 and guarantees six grades of interpretational criterias of ability ", refer to reference soft project
The CMM Pyatyi ability criteria for classifying, the world is most advanced, most perfect assurance ability level are introduced as mark post, are built
Vertical unit mass guarantees six grades of evaluation models of ability, be specifically divided into initial level, subsequent management level, basic controlled stage, guarantee grade, at
Ripe grade, brilliant grade, qualitative comment be respectively process is out of control, weak management is checked on afterwards without ready patterns to follow, have regulations to abide by substantially by
It controls, system perfects quality stabilization, it is high-quality to manage matured product, management superior product is perfect；According to every profession and trade universal phenomenon, it is believed that
Preceding 0.5% enterprise is brilliant grade, and ranking is mature grade, enterprise of the ranking 10%~25% in 0.5%~10% enterprise
To guarantee that grade, ranking are basic controlled stage in 25%~50% enterprise, ranking is subsequent management in 50%~75% enterprise
Grade, ranking are initial level in 75% later enterprise；Due to being generally acknowledged that each base layer quality index is typically compliant with normal distribution, because
This can be obtained unit mass with reasoning and guarantee that ability still conforms to normal distribution；Therefore available unit mass guarantee ability etc.
Grade quantification range: score is determined as that initial level, score are judged to managing afterwards in 41.6~50.0 points of persons in 0~41.6 point of person
Grade, score are determined as basic controlled stage in 50.0~58.4 points of persons；Score is judged to guaranteeing grade, score in 58.4~65.8 points of persons
It is determined as mature grade in 65.8~81.6 points of persons；Score is determined as brilliant grade in 81.6~100.0 points of persons.
Wherein, described in step 6 " by bottom index Score Normalization, and bottom-up unit of account quality assurance energy
Power score " refers to that the fourth stage quality index that will be collected is normalized, and all bottom indexs is made to switch to belong to and close
The number in section [0,100], to further calculate；Correct appropriate expectation upper limit EUL and desired lower limit ELL are chosen, according to line
The normalization score value of property each bottom index of interpolation calculationWherein, P is the actual value of the index；
Then, it according to the bottom-up carry out composite calulation of the index system of foundation, obtains final unit mass and guarantees ability score.
Wherein, " combining assessment criterion and bottom data situation provide unit mass and guarantee ability described in step 7
Evaluation and analysis " refer to after calculating unit mass and guaranteeing ability score, its unit guarantee ability is determined according to score belonging to
Grade determines preliminary comment, then provides specific evaluation and improvement idea according to different levels index scoring event again.
(2) a kind of unit mass based on Fuzzy AHP proposed by the present invention guarantees ability evaluation method, makes
It is as follows with method:
Unit mass is guaranteed that ability is decomposed by step (1), is tentatively established unit mass and is guaranteed evaluation frame；
Step (2) continues to investigate bottom index, establishes unit mass and guarantees ability appraisement system；
Clearly each bottom index of step (3) is specifically defined and calculation method；
Step (4) applies triangle fuzzy assessment method, calculates each node weights of mark system；
Step (5) establishes unit mass and guarantees six grades of interpretational criterias of ability；
Step (6) is by bottom index Score Normalization, and bottom-up unit of account assurance ability score；
Step (7) combining assessment criterion and bottom data situation provide evaluation and analysis that unit mass guarantees ability.
By above step, the present invention efficiently solves on the basis of effectively applying bottom and quantifying qualitative data
Unit mass guarantees the problem for causing evaluation result accuracy low by subjective judgement in merit rating, and it is accurate to be obviously improved evaluation
Property.
(3) advantages of the present invention and effect:
The present invention is a kind of unit mass guarantee ability evaluation method based on Fuzzy AHP, its advantage is that:
I. the present invention provides the clear structuring system models that unit mass guarantees merit rating.
Ii. the present invention effectively applies bottom layer quality basic data and index, is obviously improved evaluation accuracy.
Iii. the present invention applies fuzzy assessment method, effectively reduces the problem of being caused by evaluation subjectivity.
Detailed description of the invention
Fig. 1 is the method for the invention flow chart.
Fig. 2 is that unit mass guarantees ability appraisement system schematic diagram.
Specific embodiment
The present invention is described in further details below in conjunction with attached drawing and example.
The present invention is a kind of unit mass guarantee ability evaluation method based on Fuzzy AHP, as shown in Figure 1,
Steps are as follows:
Step 1 guarantees that ability is evaluated as example with certain typical airline research and development of products unit mass.According to unit situation, group is determined
Knit 4 ability, managerial ability, technical capability and enabling capabilities two-level index；Further, it is determined that the composition of trained personnel, training and examination,
Program evaluation and review, management plan, demand identification, design analysis, test evaluation, operational support, supply-side management, information management, facility
11 three-level indexs of equipment.
Step 2 continues to segment according to each three-level index, obtains 33 bottom indexs, completes unit mass and guarantees merit rating
The final foundation of system, as shown in Figure 2.
Step 3 further clarifies all 33 bottom indexs, calculation method, data statistics range according to unit situation
" technical staff people in the report period is defined as by taking index " technical staff trains number per capita " as an example with the requirement of frequency acquisition
Train number ", calculation method is " total person-time of number of Technician Training/technical staff sum ", data area be [0, ∞), adopt
Collecting frequency is " year ".
Step 4 asks the progress node weights bottom-up to overall evaluation system of 7 industry specialists to be evaluated, to same layer two
Index node establishes Complementary Judgement Matrix, and combines respectively authority, obtains weighting triangle Fuzzy Complementary Judgment Matrices, finally leads to
Crossing normalization can be obtained each node weights coefficient.It is completed with each level Four index's quality target of three-level index " management plan " subordinate
Rate, file management statistical items, quality work completion rate of the plan, comprehensive Non-Compliance ratio calculating for, finally determine it
Weight coefficient is respectively 0.23,0.26,0.17 and 0.34.
Step 5 investigates each quality index situation of research and development of products unit in air line, in conjunction with industry mark post, completes to establish single
Position six grades of interpretational criterias of assurance ability, and improve comment content.By taking " initial level " as an example, comment is " upper file, phase
The mandatory requirements such as pass standard, contract are not carried out, and the management of specification is lacked, and Resource Guarantee cannot in place, and product was realized
Journey is substantially at runaway condition, and product quality does not ensure."
Step 6 determines that each index is reasonably returned in conjunction with industry average level according to the bottom layer quality index of unit to be assessed
One changes the expectation upper limit and desired lower limit, completes the normalization of bottom index according to linear interpolation method.Then, according to the index body of foundation
It is bottom-up carry out composite calulation, obtains final unit mass and guarantee ability score, is 73.5 points.
Step 7 provides evaluation and analysis that the unit mass guarantees ability according to evaluation score.By analysis, it is believed that should
Unit mass guarantees that ability belongs to mature grade, is specifically reaching the mandatory requirement such as upper file, relevant criterion, contract comprehensively
On the basis of, in conjunction with the characteristics of specific product, thorough GJB/Z9004A standard is hired out comprehensively, is groped and is effectively implemented some advanced
, unique method for quality control, form the permanent mechanism of quality management, product quality reaches advanced international level.It is produced
Product average qualification rate, which is stablized, occupy high-order, and quality objective completion rate stabilization rises year by year, and overall situation is become better.
Finally, to rely on the evaluation of programme of expert estimation as control merely, it is known that the evaluation method can be provided more
Quantitative specific evaluation opinion guarantees ability level closer to enterprise's real quality.This is because this patent is clearly set up
Unit mass guarantees the Analytic Hierarchy Process Model of merit rating, and effectively applies bottom layer quality basic data, and application is fuzzy
Evaluation method keeps the evaluation method more targetedly and scientific compared with conventional method, can preferably alleviate subjective by evaluation
Property the problem of causing, enterprise can be helped to be obviously improved the accuracy that unit mass guarantees merit rating.
Claims (9)
1. a kind of unit mass based on Fuzzy AHP guarantees ability evaluation method, it is assumed that internal institution qualitative data energy
It obtains and true and reliable；It is characterized by: its step are as follows:
Unit mass is guaranteed that ability is decomposed by step 1, is tentatively established unit mass and is guaranteed evaluation frame；
Step 2 continues to investigate bottom index, establishes unit mass and guarantees ability appraisement system；
Clearly each bottom index of step 3 is specifically defined and calculation method；
Step 4 applies triangle fuzzy assessment method, calculates each node weights of mark system；
Step 5 establishes unit mass and guarantees six grades of interpretational criterias of ability；
Step 6 is by bottom index Score Normalization, and bottom-up unit of account assurance ability score；
Step 7 combining assessment criterion and bottom data situation provide evaluation and analysis that unit mass guarantees ability；
By above step, the present invention is efficiently solved on the basis of effectively applying bottom and quantifying qualitative data in unit
The problem for causing evaluation result accuracy low by subjective judgement in assurance ability evaluation, is obviously improved evaluation accuracy.
2. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
Described " unit mass being guaranteed that ability is decomposed, tentatively establish unit mass and guarantee evaluation frame " in step 1, refers to
Demand is evaluated according to equipment preparation, production and the assurance ability of test unit, considers that design scheme can satisfy client and need
The product of the degree, production asked meets the degree of design standard requirement, the certified product and type approval test sample one of batch production
Unit mass is guaranteed that ability overall objective preliminary exposition is second levels at different levels and three-level index by the factors such as the degree of cause；It is specific and
Speech, two-level index include organizational capacity, managerial ability, technical capability and enabling capabilities；It further, include three under organizational capacity
The grade index composition of trained personnel, training and examination include the program evaluation and review of three-level index, management plan under managerial ability, wrap under technical capability
Include the identification of three-level index demand, design analysis, test evaluation, operational support, under enabling capabilities including three-level index supply-side management,
Information management, facilities and equipment.
3. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
Described " continuing to investigate bottom index, establish unit mass and guarantee ability appraisement system " in step 2, is according to system
Property, on the basis of consistency, independence, measurability, principle of comparability, further investigate each bottom index, choose crucial, easily
In statistics, quantitative parameter index, bottom index is screened and improved on the basis of taking into account feasibility and correctness, and then complete
Guarantee the final determination of ability appraisement system at unit mass；Specifically, including level Four index under three-level index training and examination
Technical staff trains number, rate of taking appointment with certificate per capita, includes level Four index's quality engineering technology people under the three-level index composition of trained personnel
Member specific gravity, technical staff's turnover rate include that level Four index's quality target completion rate, file management are united under three-level index management plan
Item, quality work completion rate of the plan, comprehensive Non-Compliance ratio are counted, includes level Four index Design under three-level index program evaluation and review
It evaluates average problem number and quality review be averaged problem number, the identification of three-level index demand is lower to be wanted including level Four index products & services
Non-Compliance ratio, customer satisfaction are asked, lower three-level index Design analysis includes level Four index professional technique mechanism qualification, personnel
The hierarchy of skill, new technology patent application rate, design and exploitation Non-Compliance ratio, refer under the evaluation of three-level index Test including level Four
Critical to quality verifying rate, inspection and rig for testing specific gravity, success of the test rate are marked, includes level Four under three-level index operational support
Index production process Non-Compliance ratio, product repair rate, primary hand over examine qualification rate, mass loss rate, great quality accident number,
Include level Four index on-time-delivery rate, average qualification rate under three-level index supply-side management, includes four under three-level indication information management
Grade index's quality information computerization rate, tie rod pending accounts zero rate include the investment in technological upgrading of level Four index under three-level index equipment facility
Completion rate, equipment update completion rate of the plan, completion rate, equipment qualification rate, equipment fault outage rate is transformed in equipment repair；Finally,
Guarantee the list of ability, 4 two-level index, 11 three-level indexs and 33 level Four indexs comprising 1 first class index, that is, unit mass
Position assurance ability appraisement system is finally set up.
4. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
" clearly each bottom index is specifically defined and calculation method " in step 3, refers to according to unit actual conditions, bright
Definition, calculation method, data statistics range and all requirements of frequency acquisition of true each bottom index, calculate for subsequent bottom index
It lays a solid foundation；Specifically, " definition " refers to the physical connotation and practical significance for determining whole bottom indexs, " meter
Calculation method " refers to accurate quantification calculation formula and model, and " the data statistics range " refers to that each bottom layer quality data produce
Raw place, scene and level, " frequency acquisition " refer to the time frequency requirement to bottom data collecting work.
5. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
Described " applying triangle fuzzy assessment method, calculate each node weights of mark system " in step 4, refers to foundation containing 6-8
The right assessment expert group of name quality control specialist, according to professional qualification, the length of service, all backgrounds of working experience, to every expert's
Opinion significance level carries out marking evaluation, minimum 1 point, up to 5 points；Then, every expert should be according to index system under
Upwards, selection is determined with the relative Link Importance of interlayer two indices every time, and fills in fuzzy evaluating matrix, and evaluation method is such as
Under: if same layer index j is extremely important in index i, corresponding to Triangular Fuzzy Number is (0.1,0.1,0.2)；If index j is obviously important
In index i, then corresponding to Triangular Fuzzy Number is (0.2,0.3,0.4)；If it is fuzzy to correspond to triangle in index i for index j no less important
Number is (0.4,0.5,0.6)；If index i is obviously important to index j, corresponding to Triangular Fuzzy Number is (0.6,0.7,0.8)；If referring to
It is extremely important in index j to mark i, then corresponding to Triangular Fuzzy Number is (0.8,0.9,0.9)；P different experts are being obtained to Q difference
Between element after the Complementary Judgement Matrix of important relationship, the authority of different experts is considered, to all triangle fuzzy reciprocal judgment squares
Battle array is weighted combination, obtains weighting triangle Fuzzy Complementary Judgment Matrices A
A=(aij)n×n；
Wherein, aij=(alij,amij,auij),
Calculation are as follows:
Wherein, wpFor the authority of pth position expert, apij=(aplij,apmij,apuij) it is i-th of node that pth position expert provides
Different degree Triangular Fuzzy Number about j-th of node；When meeting coherence request, each section can be obtained using simple additive weight
Point weight fuzzy number Ci,
Calculating process is as follows:
Then, by CiIt is expressed as Ci=(Cli,Cmi,Cui),
Its desired value is asked to the Triangular Fuzzy Number of weight
Here λ=0.5 is generally taken；Finally, the weight coefficient of each node can be obtained by normalization
6. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
Described " establish unit mass and guarantee six grades of interpretational criterias of ability " in steps of 5, refers to and uses for reference soft project CMM Pyatyi
The ability criteria for classifying, the world is most advanced, most perfect assurance ability level are introduced as mark post, establish unit matter
Six grades of evaluation models of guarantee ability are measured, initial level is specifically divided into, subsequent management level, basic controlled stage, guarantees grade, mature grade, Zhuo
Bypass the immediate leadership, qualitative comment is respectively that process is out of control, weak management is checked on afterwards without ready patterns to follow, have regulations to abide by substantially controlled, system
Perfect that quality is stable, management matured product is high-quality, management superior product is perfect；According to every profession and trade universal phenomenon, it is believed that preceding 0.5%
Enterprise be brilliant grade, ranking is mature grade in 0.5%~10% enterprise, and ranking is to guarantee in 10%~25% enterprise
Grade, ranking are basic controlled stage in 25%~50% enterprise, and ranking is subsequent management level, ranking in 50%~75% enterprise
It is initial level in 75% later enterprise；Due to being generally acknowledged that each base layer quality index is typically compliant with normal distribution, can push away
Reason obtains unit mass and guarantees that ability still conforms to normal distribution；Therefore unit mass can be obtained and guarantee that ability rating quantifies model
Enclose: score is determined as that initial level, score are determined as that subsequent management level, score exist in 41.6~50.0 points of persons in 0~41.6 point of person
50.0~58.4 points of persons are determined as basic controlled stage；Score is judged to guaranteeing grade in 58.4~65.8 points of persons, score 65.8~
81.6 points of persons are determined as mature grade；Score is determined as brilliant grade in 81.6~100.0 points of persons.
7. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
Described in step 6 " by bottom index Score Normalization, and bottom-up unit of account assurance ability score ",
Refer to that the fourth stage quality index that will be collected is normalized, make all bottom indexs switch to belong to closed interval [0,
100] number, to further calculate；Correct appropriate expectation upper limit EUL and desired lower limit ELL are chosen, according to linear interpolation method
Calculate the normalization score value of each bottom indexWherein, P is the actual value of the index；Then, according to
The bottom-up carry out composite calulation of the index system of foundation obtains final unit mass and guarantees ability score.
8. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by:
It is described in step 7 " combining assessment criterion and bottom data situation, provide unit mass guarantee the evaluation of ability with point
Analysis " refers to after calculating unit mass and guaranteeing ability score, determines that its unit guarantees the affiliated grade of ability according to score, really
Fixed preliminary comment then provides specific evaluation and improvement idea according to different levels index scoring event again.
9. a kind of unit mass based on Fuzzy AHP according to claim 1 guarantees ability evaluation method, false
If internal institution qualitative data can obtain and true and reliable；It is characterized by: its application method is as follows:
Unit mass is guaranteed that ability is decomposed by step (1), is tentatively established unit mass and is guaranteed evaluation frame；
Step (2) continues to investigate bottom index, establishes unit mass and guarantees ability appraisement system；
Clearly each bottom index of step (3) is specifically defined and calculation method；
Step (4) applies triangle fuzzy assessment method, calculates each node weights of mark system；
Step (5) establishes unit mass and guarantees six grades of interpretational criterias of ability；
Step (6) is by bottom index Score Normalization, and bottom-up unit of account assurance ability score；
Step (7) combining assessment criterion and bottom data situation provide evaluation and analysis that unit mass guarantees ability.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110333992A (en) * | 2019-05-31 | 2019-10-15 | 平安科技（深圳）有限公司 | Service performance analysis method, device, computer equipment and storage medium |
| CN112258060A (en) * | 2020-10-28 | 2021-01-22 | 中国兵器科学研究院 | Enterprise quality information capability evaluation index system and evaluation method |
| CN112734300A (en) * | 2021-01-30 | 2021-04-30 | 中国人民解放军国防科技大学 | Method and device for building general product system model and computer equipment |
| CN113052411A (en) * | 2019-12-26 | 2021-06-29 | 北京邮电大学 | Data product quality evaluation method and device |
| CN115204556A (en) * | 2022-04-27 | 2022-10-18 | 四川川航航空发动机维修工程有限责任公司 | Method and system for evaluating construction efficiency of maintenance line of aircraft engine |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110333992A (en) * | 2019-05-31 | 2019-10-15 | 平安科技（深圳）有限公司 | Service performance analysis method, device, computer equipment and storage medium |
| CN113052411A (en) * | 2019-12-26 | 2021-06-29 | 北京邮电大学 | Data product quality evaluation method and device |
| CN112258060A (en) * | 2020-10-28 | 2021-01-22 | 中国兵器科学研究院 | Enterprise quality information capability evaluation index system and evaluation method |
| CN112734300A (en) * | 2021-01-30 | 2021-04-30 | 中国人民解放军国防科技大学 | Method and device for building general product system model and computer equipment |
| CN112734300B (en) * | 2021-01-30 | 2024-03-08 | 中国人民解放军国防科技大学 | Method and device for constructing general product system model and computer equipment |
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