CN110245872A - The method for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model - Google Patents
The method for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model Download PDFInfo
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Abstract
The invention belongs to highway engineering safety in production credit appraisal fields, and in particular to a method of highway engineering safety in production credit grade is determined using improved grey model Cluster Assessment model.Technical scheme is as follows: the method for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model, includes the following steps: the index system of (1) building highway engineering safety in production Credit Rank Appraisal；(2) the improved grey model Cluster Assessment model of highway engineering safety in production Credit Rank Appraisal is established；(3) highway engineering safety in production credit grade is determined.The method provided by the invention for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model, it is applied widely, principle is simple, easy to use, good reliability.
Description
Technical field
The invention belongs to highway engineering safety in production credit appraisal fields, and in particular to a kind of to be clustered using improved grey model
The method that evaluation model determines highway engineering safety in production credit grade.
Background technique
The in-service project scale in China is huge, and highway engineering construction task is increasingly heavy.
It constantly brings forth new ideas in face of building with management mode, continuous improvement of the socio-economic development to quality safety requirements, China
There are many problem such as credit appraisal markets excessively to open for existing project safety in production appraisement system, lacks laws and regulations support,
The application of credit appraisal is insufficient, and credit appraisal standard and result are inconsistent, and credit appraisal is confused with financial credit, education
Deficiency, credit appraisal working talent shortage etc. are led with a surname.Credit system at this stage is no longer satisfied project quality and safety
Standard.Therefore, in order to meet highway engineering construction quality and safety, a kind of the more of highway engineering safety in production credit are established
Attribute appraisement method is very necessary.
Summary of the invention
The present invention, which provides, a kind of determines highway engineering safety in production credit grade using improved grey model Cluster Assessment model
Method, it is applied widely, principle is simple, easy to use, good reliability.
Technical scheme is as follows:
The method for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model, including it is as follows
Step:
(1) index system of building highway engineering safety in production Credit Rank Appraisal；
(2) the improved grey model Cluster Assessment model of highway engineering safety in production Credit Rank Appraisal is established；
(3) highway engineering safety in production credit grade is determined.
Further, the use improved grey model Cluster Assessment model determines highway engineering safety in production credit grade
Method, the specific steps of the step (1) are as follows:
1) using comprehensive, scientific, specific aim, consistency, comparativity, operability as principle, preliminary index selection is carried out,
Form 15 evaluation indexes of related highway engineering safety in production credit；
2) principle mutually indepedent according to evaluation index, unrelated, using rough set attribute reduction principle, to primary election
Evaluation index screened；
3) index system of highway engineering safety in production Credit Rank Appraisal is established.
Further, the use improved grey model Cluster Assessment model determines highway engineering safety in production credit grade
Method, the step (2) includes: based on central point triangle whitened weight function Grey Cluster Appraisal model, with rough set attribute
Discrete indicator after reduction is sample, and the white function of each index is evaluated in building safety in production, and then determines each index albefaction letter
Numerical value；It determines that safety in production evaluates each index and clusters weight using clustering weight method, determines cluster coefficients；Specific steps are as follows:
A) according to each expert to the actual conditions marking building sample matrix of project；
B) central point triangle whitened weight function is constructed；
C) dimensionless processing is carried out to sample value, using clustering weight method analytical weight, determines that credit scoring model clusters；
D) grey cluster coefficient is calculated.
Further, the use improved grey model Cluster Assessment model determines highway engineering safety in production credit grade
Method, the specific steps of the step (3) are as follows:
I) grey cluster calculated result is arranged；
II) according to maximum membership grade principle, highway engineering safety in production credit grade is determined.
The invention has the benefit that
1, the present invention relies on current law, complies with development trend, in conjunction with quality control, the progress control of Highway Project
The contents such as system, cost Control, security control and career safety & health and environmental management take into account planning based on the construction stage
Design and maintenance service stage, it is intended to realize the project production safety management of life cycle management.On the basis of expertise,
Index screening is carried out using rough set theory, in such a way that qualitative analysis is in conjunction with quantitative analysis, scientific and reasonable foundation is public
Road engineering safety productive credit appraisement system；
2, evaluation index of the invention passes through rough set theory, screening is optimized to index, with the evaluation of multidigit expert
Based on opinion, to construct central point triangle whitened weight function grey assessment model as core, using qualitative analysis and quantitative scoring
The method combined excludes the influence of subjective factor, more objectively reflects highway engineering by overall merit calculated result
Safety in production credit grade；
3, the present invention successively carries out discretization, dimensionless processing to all kinds of indexs, to avoid because of the data under same index
It is influenced caused by gap is larger, while corresponding with standard value in order to guarantee sample value, and then it is raw safely to realize highway engineering
Produce the Comprehensive Evaluation of credit polymorphic type, multiple order of magnitude index；
4, the present invention is according to overall merit calculated result, using maximum membership grade principle, determines that highway engineering is kept the safety in production
The opinion rating of credit.Principle is simple, method applicability is strong, can be very good reflection highway engineering safety in production credit etc.
Grade status.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Triangle whitened weight function schematic diagram is put centered on Fig. 2.
Specific embodiment
The method of determining highway engineering safety in production credit grade provided by the invention it is targeted be in highway engineering
Highway comprehensively considers the overall process factor in highway engineering construction in terms of quality and safety in evaluation procedure, to highway work
Journey safety in production credit grade, which is made, to be objectively evaluated.
As shown in Figure 1, detailed step of the invention are as follows:
(1) credit appraisal system is determined；
1) target of Index System Design is determined
It relies on current law, comply with development trend, study quality control, progress monitoring, the cost control of Highway Project
System, security control and the contents such as career safety & health and environmental management, it is intended to realize comprehensive project credit management.With construction
Based on stage, highway engineering safety in production credit appraisal system is established.
2) preliminary index selection
With comprehensive, scientific, specific aim, consistency, comparativity, operability principle, in combination of qualitative and quantitative analysis
On the basis of principle, 15 evaluation indexes of related highway engineering safety in production Credit Rank Appraisal are formd；
3) index is preferred
It is screened using evaluation index of the rough set theory to primary election.According to Rough Set Reduction principle, a certain finger is rejected
After mark, whether is changed with information content and determine whether index is restrained.Information content variation for 0 illustrate the index to appraisement system without
Meaning, it is not significant for 0 explanation, then retain.
1. inviting ten experts in industry, given a mark according to exemplary projects situation for 15 indexs.Because using slightly
When rough collection screening index, need the achievement data with discretization, so need to assign score value to the index after evaluation, by its from
Dispersion.It is successively assigned a value of 5,4,3,2,1 from high to low, discretization results are shown in Table 1.
Table 1: the safety in production preferred expert estimation table of credit scoring model
2. defining S=(U, A, V, f) is an information system, U={ x1,x2,…,xgBe made of limited object
Domain, A are property set, and V is the set of attribute value, and f is U × A → V information function.U/ind (R)={ X1,
X2,…Xg, then the information content of knowledge R are as follows:
Wherein, | Xh| it is the radix of X, i.e., includes the number of element in set.
3. on the contrary then be if I (A)=I (A- { a }), illustrates that a is the dispensable attributes of A.Utilize original complete attribute
The information content of collection and the difference of information content for deleting the attribute reflect the significance level of the attribute, carry out screening index with this:
SigA-{a}(A)=I (A)-I (A- { a }) (2)
4. determining highway engineering safety in production Credit Rank Appraisal system
The significance level that index is calculated according to Rough Set Reduction principle and formula (1), formula (2), filters out indispensable attributes
Index finally establishes highway engineering safety in production Credit Rank Appraisal system.
(2) the improved grey model Cluster Assessment model for establishing highway engineering safety in production credit appraisal grade, is based on central point
The grey cluster evaluation modes of triangle whitened weight function, using discrete indicator after rough set attribute reduction as sample, building credit is commented
Each index white function of valence, and then determine each index white function value；Each index cluster of credit appraisal is determined using clustering weight method
Weight finally determines cluster coefficients.
A, sample matrix is established
Clustering object is considered as sample.In evaluation, if i=1 ..., m are cluster sample, each sample respectively has j to comment
Valence index, each evaluation index have k grey class, and cluster sample matrix is D.
In formula: xij(i=1,2 ..., m；J=1,2 ..., n) be i-th of sample, j-th of index clear figure.
B, central point triangle whitened weight function is constructed
1. the value range of evaluation object grade and index j (j=1,2 ..., n) are divided into k grey class.Assuming that λ1,
λ2, λsFor the point of the grey class maximum likelihood of k (k=1,2 ..., p), while as in the grey class of k (k=1,2 ..., p)
Heart point.Therefore the value range that index j (j=1,2 ..., n) is under the jurisdiction of the grey class of k (k=1,2 ..., p) is [λk-1,λk+1] (k=
1,2,…,p)。
2. extending the left end point and the of the 1st grey classpThe right endpoint of grey class obtains new center point sequence λ0, λ1,
λ2, λs, λs+1。
3. respectively by the central point (λ of k-1 minizonek-1, 0) and+1 minizone of kth central point (λk+1, 0) and point
(λk, 1) and connection, triangle whitened weight function of the j index about k ash class can be obtained(j=1,2 ..., n).
White function figure is as shown in Figure 2.
Corresponding white function graph expression formula are as follows:
C, safety in production credit scoring model cluster is determined
Using clustering weight method analytical weight.When carrying out weight analysis to clustering object, sample value is carried out first immeasurable
Guiding principle processing, to avoid because the gap data under same index it is larger caused by influence, while in order to guarantee sample value and standard value
Correspondence, grey class standard value be also required to carry out dimensionless processing.It is as follows that dimensionless handles formula:
In formula:--- the standardized value of j-th k-th of index grey class hierarchy；
yjk--- index j is under the jurisdiction of the quality standard value of k-th of grey class hierarchy；
--- actual sample standardization value；
xij--- the real sample values under j index.
In formula: Wjk--- it is under the jurisdiction of the cluster weight of k grade under j index；Its dependent variable is same as above.
D, grey cluster coefficient is calculated
In formula:--- cluster coefficients；
--- cluster sample i is under the jurisdiction of the clear figure of k grade under j index.
(3) highway engineering safety in production credit appraisal grade is determined.
I) grey cluster calculated result is arranged；
II) according to maximum membership grade principle, the safety in production opinion rating of highway engineering is determined.
IfThen determine expert i rating for k*。
Claims (4)
1. the method for determining highway engineering safety in production credit grade using improved grey model Cluster Assessment model, which is characterized in that
Include the following steps:
(1) index system of building highway engineering safety in production Credit Rank Appraisal；
(2) the improved grey model Cluster Assessment model of highway engineering safety in production Credit Rank Appraisal is established；
(3) highway engineering safety in production credit grade is determined.
2. according to claim 1 determine highway engineering safety in production credit grade using improved grey model Cluster Assessment model
Method, which is characterized in that the specific steps of the step (1) are as follows:
1) using comprehensive, scientific, specific aim, consistency, comparativity, operability as principle, preliminary index selection is carried out, is formed with
Close 15 evaluation indexes of highway engineering safety in production credit；
2) principle mutually indepedent according to evaluation index, unrelated, the evaluation using rough set attribute reduction principle, to primary election
Index is screened；
3) index system of highway engineering safety in production Credit Rank Appraisal is established.
3. according to claim 2 determine highway engineering safety in production credit grade using improved grey model Cluster Assessment model
Method, which is characterized in that the step (2) include: based on central point triangle whitened weight function Grey Cluster Appraisal model, with
Discrete indicator after rough set attribute reduction is sample, and the white function of each index is evaluated in building safety in production, and then is determined each
Index white function value；It determines that safety in production evaluates each index and clusters weight using clustering weight method, determines cluster coefficients；Specific step
Suddenly are as follows:
A) according to each expert to the actual conditions marking building sample matrix of project；
B) central point triangle whitened weight function is constructed；
C) dimensionless processing is carried out to sample value, using clustering weight method analytical weight, determines that credit scoring model clusters；
D) grey cluster coefficient is calculated.
4. according to claim 3 determine highway engineering safety in production credit grade using improved grey model Cluster Assessment model
Method, which is characterized in that the specific steps of the step (3) are as follows:
I) grey cluster calculated result is arranged；
II) according to maximum membership grade principle, highway engineering safety in production credit grade is determined.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112418641A (en) * | 2020-11-18 | 2021-02-26 | 深圳大学 | Subway station safety evaluation method, device, server and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112418641A (en) * | 2020-11-18 | 2021-02-26 | 深圳大学 | Subway station safety evaluation method, device, server and storage medium |
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Application publication date: 20190917 |