CN110135741A - Hot drill evaluating system and method based on carrier-borne aircraft fire - Google Patents

Hot drill evaluating system and method based on carrier-borne aircraft fire Download PDF

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CN110135741A
CN110135741A CN201910420041.9A CN201910420041A CN110135741A CN 110135741 A CN110135741 A CN 110135741A CN 201910420041 A CN201910420041 A CN 201910420041A CN 110135741 A CN110135741 A CN 110135741A
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董辉
宋子刚
李志奎
王卓刚
姜健
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703th Research Institute of CSIC
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Abstract

Hot drill evaluating system and method based on carrier-borne aircraft fire, belong to fire fire-fighting field.In order to solve the problem of current hot drill achievement assessment method, there are low efficiencys, error-prone and cannot really reflect poor accuracy caused by assessment section purpose importance.System of the invention includes the index system establishment module of the Index Establishment index systems at different levels for being inputted according to user, generate the discrimination matrix constructing module of discrimination matrix, for determining maximum eigenvalue and feature vector and carrying out the consistency checking module of consistency checking, the normalization module being normalized, it constructs opinion rating java standard library and simultaneously determines that the opinion rating standard of evaluation of estimate constructs module, and determine that the index of the evaluation decision matrix of first class index, level-one evaluation result vector sum first class index assessment result and total evaluation result obtains sub-module.The present invention is used for the hot drill achievement assessment of carrier-borne aircraft fire.

Description

Hot drill evaluating system and method based on carrier-borne aircraft fire
Technical field
The invention belongs to fire fire-fighting fields, and in particular to the evaluating system and method for hot drill.
Background technique
For powerful national defence, China increased in recent years builds dynamics to aircraft carrier, but many technologies are also in the elementary step. Aircraft carrier is always the naval warfare platform for possessing powerful fighting capacity, carrier-borne aircraft is as its trump card, very great Cheng from Modern War Aircraft carrier fight capability is improved on degree, can allow aircraft carrier fleet that can gallop in boundless ocean.Aircraft carrier internal structure is than it His surface vessel etc. is more complicated, and the equipment possessed and warship person are also more, therefore the safety management degree-of-difficulty factor of itself is big.Deck The combustibles such as the fuel oil and weapons and ammunitions of upper storage;Warship person's fire-fighting consciousness are not strong and training is not in place;It is bright when maintenance or operation It is fiery excessive;The difficulty of carrier-borne aircraft landing operation is big etc. to be likely to that fire is caused even to explode.
Carrier-borne aircraft fire is fire relatively conventional in current aircraft carrier, fire fighter's energy when fire really occurs in order to prevent It is enough effectively to put out a fire rapidly, reduce the loss of carrier-borne aircraft and aircraft carrier, fire fighter often organizes combat training or manoeuvre, Then give a mark and count real with the time for being performed integrally fire extinguishing according to observed case by syndic or evaluation committee Existing achievement assessment;There are also the study situations for being usually directed to fire fighter to carry out achievement assessment etc..But method above-mentioned is deposited In shortcomings, wherein mostly important is exactly that this mode time-consuming is very long, efficiency is very low.One more thing is that it is logical It crosses various score values and carries out marking evaluation without certain uniformity, objectivity, but also none is based on index importance The comprehensive assessment scheme of consideration, leads to the poor accuracy of assessment, nor can really reflect which subject is more more important. It is exactly the low efficiency of this training achievement appraisal procedure there are one extremely important problem and is easy error, and then further leads Cause poor accuracy.
Summary of the invention
There are low efficiencys, error-prone in order to solve the problems, such as current hot drill achievement assessment method by the present invention, and The problem of cannot really reflecting poor accuracy caused by assessment section purpose importance.
Hot drill evaluating system based on carrier-borne aircraft fire, comprising:
Index system establishment module, the second level under each first class index and first class index for being inputted according to user correspond to refer to Mark establishes index system;
Discrimination matrix constructing module, for establishing corresponding discrimination matrix table according to first class index and two-level index, And reduced value is generated according to importance comparative situation of the user to each two-level index under each first class index and first class index, and fill out Enter in discrimination matrix table, generates discrimination matrix;
Consistency checking module, for solving its maximum eigenvalue and feature vector according to discrimination matrix, and to each level-one Each two-level index under index and first class index carries out consistency checking;
Module is normalized, is carried out for each two-level index under the first class index and first class index to consistency checking qualification Normalized, and generate global feature vector sum first class index feature vector;
Opinion rating standard constructs module, for storing the opinion rating standard and corresponding fractional value that user inputs, and Construct opinion rating java standard library;The evaluation of estimate of first class index and two-level index is determined using Likert scale simultaneously;
Index obtains sub-module, according to several experts of user's input to the assessment result of the two-level index under each first class index It determines the grading situation of each two-level index, and determines one according to the grading situation of all two-level index under each first class index The evaluation decision matrix of grade index;And using first class index feature vector multiplied by the evaluation decision square of its corresponding first class index Battle array, obtains the level-one evaluation result vector of each first class index, determines first class index by the element of level-one evaluation result vector Assessment result;All level-one evaluation result vectors are constituted into total evaluation decision matrix simultaneously, utilize global feature vector Comprehensive Evaluation vector is obtained multiplied by total evaluation decision matrix, whole assessment result is determined according to Comprehensive Evaluation vector.
Hot drill achievement assessment method based on carrier-borne aircraft fire, comprising the following steps:
Step 1 chooses effectiveness indicator and determines that evaluation system, evaluation system include that several level-ones refer to according to effectiveness indicator Mark UiSeveral two-level index for including with each first class index;I is the serial number of first class index;I=1,2,3 ... ... m;M is level-one The quantity of index,
Step 2, by several first class index in evaluation system into the row as matrix, while by several first class index Into as matrix column, discrimination matrix is constructed, the element value in discrimination matrix is the one of first class index of the row and column Grade index importance reduced value;
Step 3 carries out consistency checking to several first class index in evaluation system according to importance reduced value, unanimously Property verification process is as follows:
Its maximum eigenvalue λ is solved for the discrimination matrix of constructionmaxAnd characteristic vector W;And calculate coincident indicator CI:
Wherein, n is to construct the dimension of discrimination matrix and the data of first class index or the second level under each first class index Index quantity, n > 2, when n is the data of first class index, n=m;
Then random consistency ration CR is determined:
Wherein RI is index adjustment proportional factor;
When CR≤0.1, meet consistency;If being unsatisfactory for consistency checking, return step 2 reconfigures discrimination matrix; Otherwise, characteristic vector W is normalized, the value of element is each level-one in global feature the vector A, A after being normalized The corresponding weight of index;
Step 4, for several two-level index under each first class index, according to step 2 and step 3 under first class index Several two-level index carry out consistency checkings, until the corresponding discrimination matrix of each two-level index is also by consistency check, and It determines the first class index weight vectors that the weighted value of all two-level index under each first class index is constituted, it is normalized First class index feature vector A after being normalizedj, AjThe value of middle element is the corresponding weight of each two-level index;
Step 5 determines each two-level index according to assessment result of several experts to the two-level index under each first class index Grading situation, and determine according to the grading situation of all two-level index under each first class index the evaluation decision of first class index Matrix;
Utilize first class index feature vector AjMultiplied by the evaluation decision matrix of its corresponding first class index, each level-one is obtained The level-one evaluation result vector of index, the assessment result of first class index is determined by the element of level-one evaluation result vector;
All level-one evaluation result vectors constitute total evaluation decision matrix, using global feature vector A multiplied by entirety Evaluation decision matrix obtains Comprehensive Evaluation vector, and whole assessment result is determined according to Comprehensive Evaluation vector.
Further, the index adjustment proportional factor RI is related to the dimension n of discrimination matrix, the RI=as n=3 0.58, the RI=0.90 as n=4, the RI=1.12 as n=5, the RI=1.24 as n=6, the RI=1.32 as n=7 work as n RI=1.41 when=8, the RI=1.45 as n=9.
Further, according to the true to the assessment result of the two-level index under each first class index of several experts described in step 5 The process of the grading situation of fixed each two-level index is as follows:
M1 expert Utilization assessment collection V={ v1,v2,…,vm’In element evaluated as opinion rating standard, vj It is the classification standard judged, j=1,2,3 ..., m ';
It is directed to each two-level index, each expert represents grading value as 1/M1, counts the expert under each classification standard Quantity, to generate the grading value of each classification standard of each two-level index, i.e. the grading situation of two-level index.
It further, is each classification standard pair during the grading situation for determining each two-level index in steps of 5 A fractional value is answered, and the more high corresponding fractional value of classification standard is higher;All classification standards based on each two-level index Fractional value determines the evaluation of estimate of each two-level index using Likert scale.
Further, the evaluate collection V={ v1,v2,…,vm’In have 5 elements, respectively " excellent ", " good ", " in ", " poor ", " failing " so judges set V={ v1,v2,v3,v4,v5}={ is excellent, good, in, it is poor, unqualified.
Further, the evaluation is concentrated with the fractional value point of 5 element "excellent", "fine", "moderate" and "bad", " failing " It Wei 5,4,3,2,1.
Further, which is characterized in that step 5 determines the assessment of first class index by the element of level-one evaluation result vector As a result detailed process is as follows:
For each first class index, by the element of level-one evaluation result vector respectively with point of corresponding classification standard Numerical value is multiplied, and then sums it up the assessment result that determining total score is each first class index, and corresponding evaluation of estimate carries out Comparison is therefore, it is determined that whether assessment result is qualified.
Further, the process and determining one of whole assessment result is determined described in step 5 according to Comprehensive Evaluation vector The process of the assessment result of grade index is identical.
Further, the evaluation system includes 5 first class index: office coaching, organization arrangement and facility, fire fighting and rescue Personnel's technical ability, team collaboration's atmosphere, organizational performance;
Office coaching includes 3 two-level index: training content, training teacher and inspector, training method;
Organization arrangement and facility include 4 two-level index: drill outline, training time, the environmental unit of training, training group Knit management;
Fire fighting and rescue personnel's technical ability includes 6 two-level index: know-how, body and mind quality, attitude are promoted, energy is disposed in fire extinguishing Power, fire prevention context-aware, Emergency decision ability;
Team collaboration's atmosphere includes 4 two-level index: team communication capability improving, carrier-borne aircraft safety culture, army are whole Cohesiveness, ability to organize and coordinate;
Organizational performance includes 2 two-level index: fire prevention personnel think that the reduction of mistake, carrier-borne aircraft pyrotechnics accident symptom subtract It is few.
The invention has the following advantages:
System and method of the invention can provide level assessment for user, can be evaluated according to practical situation, And weight adjustment can be carried out according to section's purpose importance, it is more in line with the training of actual fire extinguishing team member, also more The achievement for meeting fire extinguishing team member's training really reflects, to be more in line with the reality that true fire extinguishing situation is also more in line with team member Border technical ability, and then can be improved the accuracy of assessment;Simultaneity factor can be extended with the later period, and the factor considered in this way is more complete Face can not only effectively be adjusted for every team's situation, be had with specific aim, and can also further Evaluated effect and accurately Property.
The troublesome calculation that the reduction that the present invention can reduce simultaneously was assessed in the past improves assessment efficiency, reduces mistake.More It is important that the present invention is able to carry out normalization, so that different assessments have the same effect, it is not only easy to mutually refer to, evaluates Standard is more objective, is also conducive to the long-term reference of same branch fire extinguishing team, supplemental training is more able to reflect training effect, to help Hot drill.
Detailed description of the invention
Fig. 1 is Kirkpatrick hierarchy frame;
Fig. 2 is carrier-borne aircraft hot drill effectiveness indicator system;
Fig. 3 is carrier-borne aircraft fire extinguishing assessment effectiveness factors system.
Specific embodiment
Specific embodiment 1:
Hot drill achievement assessment method based on carrier-borne aircraft fire, comprising the following steps:
Consider that scientific, comprehensive, practicability, systematicness and target are led for the needs that real training fire extinguishing procedure is assessed Tropism criterion.
Present embodiment carries out selecting index based on tetra- hierarchy model of Kirkpatrick.Kirkpatrick Four hierarchy models can provide good theoretical basis;In addition, from the point of view of the content, system and standard of assessment, Tetra- hierarchy model of Kirkpatrick is also best suited for aircraft carrier this special object present invention, therefore uses The selection of carrier-borne aircraft hot drill recruitment evaluation index is carried out based on tetra- hierarchy model of Kirkpatrick.
The model Behavior-based control theory is assessment object with trained student, until the variation of result from idea to behavior Rule divides level.The structural framing of model is as shown in Figure 1, specifically assess result of training from four levels:
The reaction and satisfaction of reaction level, i.e. student to entire training activity, including student is to training arrangement, project Implement, the view of content and method etc., the assessment of the part mostly in a manner of questionnaire survey and interview based on;
Learning level, assess student after training to the Grasping level of content, it is desirable to understand its attitude, knowledge and The harvest of three aspect of technical ability, main assessment mode are examination assessment, questionnaire survey and in-site modeling;
Behavior level, the variation that assessment training generates student in actual operation, it usually needs commented by a series of Estimate table progress;
Tissue is horizontal, and organizational development's bring positive effect is given in assessment training.
For objective comprehensive selection carrier-borne aircraft hot drill recruitment evaluation index, the present invention is being based on Kirkpatrick On the basis of assessment models, with reference to the correlation report of previous carrier-borne aircraft event on fire or fire incident, other aircraft resources are used for reference The related data of management training recruitment evaluation, and the evaluation index document of other a large amount of corporate training effects is combined, it aggregates The continuous item index of carrier-borne aircraft hot drill recruitment evaluation is gone out.Primary election result is as follows:
Reaction level: training regulation, training teacher, training method, training content, training time, training environment equipment;
Learning level: attitude is promoted, knowledge is promoted, skill improvement;
Behavior level: fire prevention context-aware is promoted, communication capability is promoted, Emergency decision capability improving, ability to organize and coordinate It is promoted, fire extinguishing disposing capacity is promoted;
Organize horizontal: team unity spirit is promoted, main cabin safety culture is promoted, trainee's occupational culture is promoted, prevents going out Fiery human error is reduced, main cabin pyrotechnics accident proneness is reduced.
Based on the index chosen above, carrier-borne aircraft hot drill effectiveness indicator system is preliminarily formed, as shown in Figure 2.
In addition, passing through the expert with naval vessel related personnel and cooperation unit on the basis of being based on index shown in Fig. 2 It discusses research, which is modified.Revised index is as shown in table 1.
Table 1 is based on Kirkpatrick model and the revised index of expertise
The indices for carefully analyzing the proposition of table 1 compare business aircraft, large-scale ships, public affairs according to the bibliography of access The related fire extinguishing effectiveness evaluation index system of the reference value with higher such as fire department altogether, to Kirkpatrick model structure The index structure built has carried out reasonable adjustment.Its main cause is as follows:
(1) first under the premise of guaranteeing that index is constant, possess between the indices chosen based on Kirkpatrick model Progressive feature, this is because the model itself there are the characteristics of it is caused.The index system newly constructed is more focused on efficiency and is commented Relationship between index before is adjusted to parallel relation by the influence factor estimated.
(2) Kirkpatrick model also fail to instantly it is universal be used in carrier-borne aircraft fire extinguishing field, according to real training fire extinguishing Correlation circumstance, improved index system are more suitable for the measures of effectiveness of carrier-borne aircraft fire extinguishing to a certain extent.
Based on conditions above, present invention produces the assessment bodies of 5 first class index as shown in Figure 3 and 19 two-level index System.
After determining index, the present invention determines index weights using analytic hierarchy process (AHP), present invention determine that weight is broadly divided into five Step:
(1.1) hierarchy Model is established
It has been hit the target the building of a level model structure based on Kirkpatrick model, has been detailed in Fig. 2.
(1.2) discrimination matrix is constructed
Hierarchical structure reflection shown in Fig. 2 influences the relationship between carrier-borne aircraft fire extinguishing assessment efficiency factor, but each level-one is assessed Index specific gravity shared in measuring using carrier-borne aircraft fire fighting power as general objective is not identical.Here, it is gone out with carrier-borne aircraft Fiery fighting capacity is general objective, has 5 first class index to have an impact general objective below,
2 discrimination matrix of table constructs table
The scoring criteria of element in 3 judgment matrix of table
5 × 5 discrimination matrix are constructed as example.The determination of other each two-level index weights also using similar method come Construct discrimination matrix.The present invention takes manner of comparison two-by-two to 5 first class index to construct discrimination matrix.5 are taken every time Any two in first class index complete discrimination matrix corresponding position element according to the scoring criteria of 3.3 discrimination matrix element of table Determination, such as office coaching is of equal importance with respect to for itself, then both ratio be 1;Office coaching in organization arrangement For facility, the former is obvious inessential for the latter, therefore the two ratio is 1/5, conversely, organization arrangement and facility It is obviously important in office coaching, therefore the two ratio be 5.Other 5 × 5 discrimination matrix elements are also filled in this manner.Together Reason, also uses the method for the construction of the two-level index discrimination matrix under first class index.
(1.3) Mode of Level Simple Sequence
Carrier-borne aircraft fire fighting power general objective carries out Mode of Level Simple Sequence to 5 first class index of subordinate, carries out as example Explanation.Assuming that 5 × 5 discrimination matrix of above-mentioned construction are B, the characteristic value and feature vector of calculating matrix B, so that the matrix B accords with It closes
BW=λmaxW
Wherein λmaxFor the maximum eigenvalue of B, W λmaxCorresponding feature vector, the component W of Wi, WiFor corresponding 5 level-ones The weight of the single sequence of index.
For check consistency, coincident indicator CI need be calculated, it is following to standardize
, it is evident that when discrimination matrix B meets crash consistency, CI=0.In order to verify discrimination matrix have it is satisfied Consistency must be compared CI with average coincident indicator RI immediately and find out CR.It is not anticipated when n is equal to 1 and 2 using the present invention Justice does not consider.For 3-9 rank matrix, RI difference is as follows:
Corresponding RI value when 4 matrix order n difference of table
Judgment rule is as follows: random consistency ration meets consistency when CR≤0.1 for CR, otherwise needs to adjust differentiation square Battle array.
(1.4) total hierarchial sorting
For carrier-borne aircraft puts out a fire the index system for assessing efficiency, for the sake of simplifying problem, ignore the connection between each index System, including the connection between 5 first class index and 19 two-level index, then to be just changed into level single for total hierarchial sorting problem The problem of sequence.
(1.5) consistency check
Due to ignoring the relationship between each index, sequence is converted by total hierarchial sorting problem and is had been presented in step 3 Apparent treating method, and each discrimination matrix is also by consistency check.So each index weights are all handled.
After determining weight, finally judged using Field Using Fuzzy Comprehensive Assessment.Field Using Fuzzy Comprehensive Assessment, which is able to solve, to be difficult to The problem of quantization, completes the transformation of qualitative to quantitative.
Basic principle and step: judge general objective is influenced by many factors, by these factors to sum up composition set For U={ U1,U2,…,Um, wherein U1First class index is respectively indicated to Um;Level evaluation, these grades are carried out to first class index The judge for judging composition integrates as V={ v1,v2,…,vm'}.The judge collection that present embodiment is chosen can substantially be divided into 5 ranks (it is excellent, good, in, it is poor, fail).Determine each index in the ownership degree R and each index for judging collection in evaluation goal respectively Weight distribution A.Result of Fuzzy Comprehensive Evaluation collection B is finally calculated according to formula, B is calculated using following formula.
(1) assessment factor set U is divided into m subset U1,U2,…,UmAnd meet U1∪U2…Um=U, to arbitrary i ≠ j,
Sets of factors, each set of factors U wherein are estimated to second leveli={ Ui1, Ui2... ..., Uin(i=1,2 ..., m).
(2) to each set of factors UiIn n evaluation factor, commented according to single level fuzzy synthetic evaluation model Estimate, if V={ v1,v2,…,vm’It is to judge collection, wherein vj(j=1,2,3 ..., m ') it is the classification standard judged, m ' is vjIn Contained element number.Evaluation element can be the score value for being qualitatively also possible to quantization.UiIn the weight distribution of each factor be A=[ai1,ai2,…,aim], wherein element ai1,ai2,…,aimIt is the corresponding weight number of factor.It is mainly used to indicate each factor The criticality in overall merit must generally keep regression nature and nonnegativity:Its evaluation decision matrix is Ri, then Set of factors U can be obtainediLevel-one Result of Fuzzy Comprehensive Evaluation are as follows:
Bi=Ai×Ri=[bi1,bi2,…,bin]
(3) by appraisal parameters Ui(i=1,2 ..., m) regards a composite factor as, uses BiSynthesis is carried out as single factor test to comment Sentence, evaluation decision matrix are as follows:
If the weight proportion of each factor of U is A=[a1,a2,…,am], then available two-level synthetic fuzzy evaluation knot Fruit:
B=A × R
Wherein B is the comprehensive assessment result of U and the comprehensive assessment result of all assessment factors.Using common matrix model Method carries out matrix and synthesizes operation.If every sub- set of factors Ui(i=1,2 ..., m) contains more factor or even 4 grades, 5 grades The model of fuzzy synthetic evaluation of the even more levels of model.
Specific embodiment two, present embodiment are the systems constructed according to the method for specific embodiment one,
Hot drill evaluating system based on carrier-borne aircraft fire, comprising:
Index system establishment module, the second level under each first class index and first class index for being inputted according to user correspond to refer to Mark establishes index system;
Discrimination matrix constructing module, for establishing corresponding discrimination matrix table according to first class index and two-level index, And reduced value is generated according to importance comparative situation of the user to each two-level index under each first class index and first class index, and fill out Enter in discrimination matrix table, generates discrimination matrix;
Consistency checking module, for solving its maximum eigenvalue and feature vector according to discrimination matrix, and to each level-one Each two-level index under index and first class index carries out consistency checking;
Module is normalized, is carried out for each two-level index under the first class index and first class index to consistency checking qualification Normalized, and generate global feature vector sum first class index feature vector;
Opinion rating standard constructs module, for storing the opinion rating standard and corresponding fractional value that user inputs, and Construct opinion rating java standard library;The evaluation of estimate of first class index and two-level index is determined using Likert scale simultaneously;
Index obtains sub-module, according to several experts of user's input to the assessment result of the two-level index under each first class index It determines the grading situation of each two-level index, and determines one according to the grading situation of all two-level index under each first class index The evaluation decision matrix of grade index;And using first class index feature vector multiplied by the evaluation decision square of its corresponding first class index Battle array, obtains the level-one evaluation result vector of each first class index, determines first class index by the element of level-one evaluation result vector Assessment result;All level-one evaluation result vectors are constituted into total evaluation decision matrix simultaneously, utilize global feature vector Comprehensive Evaluation vector is obtained multiplied by total evaluation decision matrix, whole assessment result is determined according to Comprehensive Evaluation vector.
Embodiment:
Carrier-borne aircraft fire extinguishing assessment system is a kind of comprehensive system, needs various aspects to make assessment to this, it mainly includes Office coaching, organization arrangement and facility, fire fighting and rescue personnel technical ability, team collaboration's atmosphere, organizational performance five aspect are assessed. So assessing the research of carrier-borne aircraft fire extinguishing assessment system, it is necessary to base oneself upon above-mentioned several respects.
In the present embodiment, the characteristics of each factor has oneself causes to make real training fire extinguishing achievement in terms of different At influence.The above index puts together to form carrier-borne aircraft fire fighting power comprehensive effectiveness appraisement system.
Assessment factor model:
U={ u1,u2,u3,u4,u5}
u1,u2,u3,u4,u5Respectively office coaching, organization arrangement and facility, fire fighting and rescue personnel technical ability, team collaboration's atmosphere It encloses, five first class index of organizational performance.
(2) evaluation grade determines
Based on live real training fire extinguishing situation, judging panel expert adopts fire extinguishing assessment effectiveness synthesis unanimously and comments to this divided rank 5 grades of opinion point is examined, "excellent", "fine", "moderate" and "bad", " failing " are followed successively by.So judge set are as follows:
V={ v1,v2,v3,v4,v5}={ is excellent, good, in, it is poor, unqualified
(3) determination of factor weight
The present invention using analytic hierarchy process (AHP) in evaluation index system 5 first class index (office coaching, organization arrangement with Facility, fire fighting and rescue personnel technical ability, team collaboration's atmosphere, organizational performance) and 19 two-level index, carry out weight calculation.Index See Table 6 for details for weight distribution situation.Level-one weight is respectively as follows:
A=[a1,a2,a3,a4,a5]
In set of factors intersection Ui(i=1,2,3,4,5) the second level weight of factor is respectively as follows: in
A1=[a11,a12,a13]
A2=[a21,a22,a23,a24]
A3=[a31,a32,a33,a34,a35,a36]
A4=[a41,a42,a43,a44]
A5=[a51,a52]
(4) determination of evaluation grade and its evaluation index
According to Likert scale give a mark rule, assessment efficiency is carried out to hot drill, by review comment be divided into it is excellent, good, in, It is poor and unqualified.For above 5 grades of review comments, successively assignment 5,4,3,2,1.Therefore the level condition that review comment obtains is detailed in Table 5.
5 evaluation approach of table
Evaluation of estimate is determined by the knowledge of statistics of Likert scale.
(5) solution of index weights
It is solved using AHP expansion index weights, substantially step are as follows:
1. determining assessment target:
P=carrier-borne aircraft fire fighting force estimation
2. factor of evaluation collection
U={ u1,u2,u3,u4,u5}={ office coaching, organization arrangement and facility, fire fighting and rescue personnel technical ability,
Team collaboration's atmosphere, organizational performance }
Set V={ v is judged 3. determining1,v2,v3,v4,v5}={ is excellent, good, in, it is poor, unqualified
4. the determination of first class index weight
The maximum eigenvalue root λ of discrimination matrix Smax.Whether validation matrix S meets consistency check, coincident indicator Are as follows:
RI=1.12 can be obtained according to table 4.Random consistency ratio:
CR=CI/RI=0.03453 < 0.10
CR meets situation, which has satisfactory consistency, therefore the distribution of flexible strategy is appropriate.The corresponding feature vector of S is A'=(0.0531,0.2287,0.2752,0.3475,0.0954)
By its normalized A=(0.0524,0.2247,0.2710,0.3582,0.0937)
6 carrier-borne aircraft fire extinguishing effectiveness of table assesses each index weights coefficient
5. the solution of two-level index weight
Similar with above-mentioned first class index weight finding process, second level weight is sought in expansion, and it is reasonable to finally obtain it Weight coefficient.
A. the weight of 3 indexs of classroom professor, feature vector: (0.2184,0.5201,0.8257)
It is normalized: A1=(0.1396,0.3352,0.5278)
B. the weight of 4 indexs of organization arrangement and facility, feature vector: (0.4,0.2,0.8,0.4)
It is normalized: A2=(0.2222,0.1112,0.4444,0.2222)
C. the weight of 6 indexs of fire fighting and rescue personnel, feature vector: (0.0832,0.3501,0.0853, 0.7607,0.0853,0.5267)
It is normalized: A3=(0.0440,0.1851,0.0451,0.4022,0.0451,0.2785)
D. the weight of 4 indexs of team collaboration's atmosphere, feature vector: (0.3153,0.1311,0.8517,0.3975)
It is normalized: A4=(0.1859,0.0773,0.5023,0.2344)
E. the weight of 2 indexs of organizational performance, feature vector: (0.8328,0.5547)
It is normalized: A5=(0.6000,0.4000)
The weight coefficient calculated above is listed in Table 6 below.
(6) fuzzy comprehensive evoluation is carried out
The assessment system has carried out test of many times, and just wherein for certain experiment, 20 evaluation experts put out a fire to carrier-borne aircraft Real training process assessment is unfolded, evaluation expert is presented in table 7 to being related to the assessment result of classroom three indexs of professor's link, 0.05 represents 1 expert, according to list data, obtains fuzzy comprehensive evoluation R1, i.e. evaluation decision matrix.
Office coaching link grading situation in the assessment of certain hot drill of table 7
Similarly obtain
The weight of each index:
A1'=[0.1396,0.3352,0.5278]
A2'=[0.2222,0.1112,0.4444,0.2222]
A3'=[0.0440,0.1851,0.0451,0.4022,0.0451,0.2785]
A4'=[0.1859,0.0773,0.5023,0.2344]
A5'=[0.6000,0.4000]
Operation is unfolded according to above-mentioned steps, by each subset Ui(i=1,2,3,4,5) Comprehensive Evaluation result vector difference Are as follows:
B1'=A1'×R1=[0.21295,0.37185,0.24102,0.13363,0.04315]
B2'=A2'×R2=[0.23333,0.36666,0.23333,0.09445,0.07223]
B3'=A3'×R3=[0.16526,0.264535,0.381585,0.15013,0.03849]
B4'=A4'×R4=[0.3072,0.39597,0.23525,0.045895,0.015585]
B5'=A5'×R5=[0.20,0.40,0.32,0.08,0.00]
Therefore, U corresponding fuzzy comprehensive evoluation matrix are as follows:
So the corresponding Comprehensive Evaluation vector of U are as follows:
B=A × R=[0.2371,0.3529,0.2827,0.0928,0.0345]
(7) rank judging results
B1=0.21295 × 5+0.371850 × 4+0.24102 × 3+0.13363 × 2+0.04315 × 1=3.5856 > 3.4
B2=0.23333 × 5+0.36666 × 4+0.23333 × 3+0.09445 × 2+0.07223 × 1=3.5944 > 3.4
B3=0.16526 × 5+0.26535 × 4+0.381585 × 3+0.15031 × 2+0.03849 × 1=3.36 > 2.7
B4=0.3072 × 5+0.39597 × 4+0.23525 × 3+0.045895 × 2+0.015585 × 1=3.939 > 3.4
B5=0.20 × 5+0.40 × 4+0.32 × 3+0.08 × 2+0.00 × 1=3.72 > 3.4
It can be obtained by the above calculated result.The corresponding evaluation result available, overall with the classification standard of table 5.3 are as follows:
B=0.2371 × 5+0.3529 × 4+0.2827 × 3+0.0928 × 2+0.0345 × 1=3.6653 > 3.4
It can be seen that carrier-borne aircraft fire extinguishing assessment system according to this hot drill evaluation result and be in effective status.

Claims (10)

1. the hot drill evaluating system based on carrier-borne aircraft fire characterized by comprising
Index system establishment module, the two-level index under each first class index and first class index for being inputted according to user correspond to are built Vertical index system;
Discrimination matrix constructing module, for establishing corresponding discrimination matrix table, and root according to first class index and two-level index Reduced value is generated according to importance comparative situation of the user to each two-level index under each first class index and first class index, and inserts and sentences In other matrix table, discrimination matrix is generated;
Consistency checking module, for solving its maximum eigenvalue and feature vector according to discrimination matrix, and to each first class index Consistency checking is carried out with each two-level index under first class index;
Module is normalized, carries out normalizing for each two-level index under the first class index and first class index to consistency checking qualification Change processing, and generate global feature vector sum first class index feature vector;
Opinion rating standard constructs module, for storing the opinion rating standard and corresponding fractional value that user inputs, and constructs Opinion rating java standard library;The evaluation of estimate of first class index and two-level index is determined using Likert scale simultaneously;
Index obtains sub-module, is determined according to assessment result of several experts of user's input to the two-level index under each first class index The grading situation of each two-level index, and determine that level-one refers to according to the grading situation of all two-level index under each first class index Target evaluation decision matrix;And it is obtained using first class index feature vector multiplied by the evaluation decision matrix of its corresponding first class index To the level-one evaluation result vector of each first class index, the assessment of first class index is determined by the element of level-one evaluation result vector As a result;All level-one evaluation result vectors are constituted into total evaluation decision matrix simultaneously, using global feature vector multiplied by whole Body evaluation decision matrix obtains Comprehensive Evaluation vector, and whole assessment result is determined according to Comprehensive Evaluation vector.
2. the hot drill achievement assessment method based on carrier-borne aircraft fire, which comprises the following steps:
Step 1 chooses effectiveness indicator and determines that evaluation system, evaluation system include several first class index U according to effectiveness indicatori Several two-level index for including with each first class index;I is the serial number of first class index;I=1,2,3 ... ... m;M is first class index Quantity,
Step 2, by several first class index in evaluation system into the row as matrix, while by several first class index into work For matrix column, discrimination matrix is constructed, the element value in discrimination matrix refers to for the level-one of first class index of the row and column Mark importance reduced value;
Step 3 carries out consistency checking to several first class index in evaluation system according to importance reduced value, and consistency is tested Card process is as follows:
Its maximum eigenvalue λ is solved for the discrimination matrix of constructionmaxAnd characteristic vector W;And calculate coincident indicator CI:
Wherein, n is to construct the dimension of discrimination matrix and the data of first class index or the two-level index under each first class index Quantity;
Then random consistency ration CR is determined:
Wherein RI is index adjustment proportional factor;
When CR≤0.1, meet consistency;If being unsatisfactory for consistency checking, return step 2 reconfigures discrimination matrix;Otherwise, Characteristic vector W is normalized, the value of element is each first class index pair in global feature the vector A, A after being normalized The weight answered;
Step 4, for several two-level index under each first class index, according to step 2 and step 3 to several under first class index Two-level index carries out consistency checking, until the corresponding discrimination matrix of each two-level index is also by consistency check, and determines The first class index weight vectors that the weighted value of all two-level index under each first class index is constituted, are normalized to obtain to it First class index feature vector A after normalizationj, AjThe value of middle element is the corresponding weight of each two-level index;
Step 5 determines commenting for each two-level index according to assessment result of several experts to the two-level index under each first class index Grade situation, and determine according to the grading situation of all two-level index under each first class index the evaluation decision square of first class index Battle array;
Utilize first class index feature vector AjMultiplied by the evaluation decision matrix of its corresponding first class index, each first class index is obtained Level-one evaluation result vector, the assessment result of first class index is determined by the element of level-one evaluation result vector;
All level-one evaluation result vectors constitute total evaluation decision matrix, using global feature vector A multiplied by total evaluation Decision matrix obtains Comprehensive Evaluation vector, and whole assessment result is determined according to Comprehensive Evaluation vector.
3. the hot drill achievement assessment method according to claim 2 based on carrier-borne aircraft fire, which is characterized in that described Index adjustment proportional factor RI is related to the dimension n of discrimination matrix, the RI=0.58 as n=3, and the RI=0.90 as n=4 works as n RI=1.12 when=5, the RI=1.24 as n=6, the RI=1.32 as n=7, the RI=1.41 as n=8, the RI=as n=9 1.45。
4. the hot drill achievement assessment method according to claim 2 based on carrier-borne aircraft fire, which is characterized in that step The 5 grading feelings that each two-level index is determined to the assessment result of the two-level index under each first class index according to several experts The process of condition is as follows:
M1 expert Utilization assessment collection V={ v1,v2,…,vm’In element evaluated as opinion rating standard, vjIt is to comment The classification standard sentenced, j=1,2,3 ..., m ';
It is directed to each two-level index, each expert represents grading value as 1/M1, expert's quantity under each classification standard is counted, To generate the grading value of each classification standard of each two-level index, i.e. the grading situation of two-level index.
5. the hot drill achievement assessment method according to claim 4 based on carrier-borne aircraft fire, which is characterized in that in step During the grading situation for determining each two-level index in rapid 5, a fractional value, and grade mark are corresponded to for each classification standard Quasi- more high corresponding fractional value is higher;The fractional value of all classification standards based on each two-level index, utilizes Likert scale Determine the evaluation of estimate of each two-level index.
6. the hot drill achievement assessment method according to claim 5 based on carrier-borne aircraft fire, which is characterized in that described Evaluate collection V={ v1,v2,…,vm’In have 5 elements, respectively "excellent", "fine", "moderate" and "bad", " failing ", i.e., so comment Sentence set V={ v1,v2,v3,v4,v5}={ is excellent, good, in, it is poor, unqualified.
7. the hot drill achievement assessment method according to claim 6 based on carrier-borne aircraft fire, which is characterized in that described Evaluation is concentrated with 5 element "excellent", "fine", "moderate" and "bad", the fractional value of " failing " is respectively 5,4,3,2,1.
8. the hot drill achievement assessment method according to claim 5,6 or 7 based on carrier-borne aircraft fire, feature exist By the element of level-one evaluation result vector determining the assessment result of first class index in, step 5, detailed process is as follows:
For each first class index, by the element of the level-one evaluation result vector fractional value with corresponding classification standard respectively It is multiplied, then sums it up the assessment result that determining total score is each first class index, and corresponding evaluation of estimate is compared Therefore, it is determined that whether assessment result is qualified.
9. the hot drill achievement assessment method according to claim 8 based on carrier-borne aircraft fire, which is characterized in that step The process of whole assessment result is determined described in 5 according to Comprehensive Evaluation vector and determines the process of the assessment result of first class index It is identical.
10. the hot drill achievement assessment method according to claim 9 based on carrier-borne aircraft fire, which is characterized in that institute Stating evaluation system includes 5 first class index: office coaching, organization arrangement and facility, fire fighting and rescue personnel technical ability, team collaboration's atmosphere It encloses, organizational performance;
Office coaching includes 3 two-level index: training content, training teacher and inspector, training method;
Organization arrangement and facility include 4 two-level index: drill outline, training time, the environmental unit of training, training tub of tissue Reason;
Fire fighting and rescue personnel's technical ability include 6 two-level index: know-how, body and mind quality, attitude promoted, fire extinguishing disposing capacity, Fire prevention context-aware, Emergency decision ability;
Team collaboration's atmosphere includes 4 two-level index: team communication capability improving, carrier-borne aircraft safety culture, army are whole to coagulate Poly- power, ability to organize and coordinate;
Organizational performance includes 2 two-level index: fire prevention personnel think the reduction of the reduction of mistake, carrier-borne aircraft pyrotechnics accident symptom.
CN201910420041.9A 2019-05-20 2019-05-20 Hot drill evaluating system and method based on carrier-borne aircraft fire Pending CN110135741A (en)

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Publication number Priority date Publication date Assignee Title
CN110889211A (en) * 2019-11-18 2020-03-17 中国人民解放军海军工程大学 Method for constructing damage control training process adjustment guiding and result evaluation model
CN110889211B (en) * 2019-11-18 2022-09-27 中国人民解放军海军工程大学 Method for constructing damage control training process adjustment guiding and result evaluation model
CN111340325A (en) * 2019-11-28 2020-06-26 中国电力科学研究院有限公司 Method and system for evaluating service level of power transmission and transformation facility based on comprehensive evaluation index
CN112258922A (en) * 2020-11-19 2021-01-22 成都颖创科技有限公司 Individual weapon simulation training system
CN112258922B (en) * 2020-11-19 2022-07-08 成都颖创科技有限公司 Individual weapon simulation training system
CN113808450A (en) * 2021-08-20 2021-12-17 北京中电智博科技有限公司 External floating roof oil tank model accident handling training method, device and equipment
CN113808450B (en) * 2021-08-20 2023-05-09 北京中电智博科技有限公司 External floating roof oil tank model accident handling training method, device and equipment
CN114444917A (en) * 2022-01-21 2022-05-06 清华大学 Fire-fighting airplane putting effect evaluation method and system
CN116452053A (en) * 2023-04-19 2023-07-18 广东科技学院 Ship structure fire fighting capability comprehensive evaluation method based on three-parameter interval gray number
CN116452053B (en) * 2023-04-19 2024-04-19 广东科技学院 Ship structure fire fighting capability comprehensive evaluation method based on three-parameter interval gray number
CN117216692A (en) * 2023-11-07 2023-12-12 卓世科技(海南)有限公司 Training result acceptance method and system
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