Using fuzzy comprehensive evaluation method to construct a comprehensive evaluation model for Enterprise Management Progress

Using fuzzy comprehensive evaluation method to construct a comprehensive evaluation model for Enterprise Management Progress

 

I. Brief description of the fuzzy comprehensive evaluation method
(1) fuzzy theory (fuzzy theory) is developed by American automation experts and Professor at the University of California,... a. Zadeh)
It was created in 1965 and is a mathematical method used to study and process the phenomenon of "fuzzy ".
Fuzzy Mathematics.
(2) The linear weighted model has a strong intuition, simple model operation, fast speed, and easy to program. Therefore, it is often used in evaluation. The main assumption of the model is the linear relationship between indicators, which requires that indicators cannot be linearly correlated. Otherwise, the indicators will be degraded to affect the evaluation results. From a systematic point of view, the model's assumption of linear relationships is not reasonable, and it drowned out possible branching. Fuzzy Analysis is an Evaluation Method Based on Fuzzy collection. It is characterized by the close relationship between its evaluation method and people's normal thinking model, and the use of language to describe objects. In the process of determining qualitative factors, it is difficult for many vague phenomena, such as the organization management system and enterprise leaders, to clearly define the boundaries and to express them in simple numbers, therefore, we can only use fuzzy mathematics for processing.
(3) The Mathematical Principle of fuzzy comprehensive evaluation. First, considering the quantity that affects the overall ability of business management, it must be fuzzy, that is to say, after determining the comprehensive capability index system of enterprise management, the indicators and standards of various factors are not quantified first. Instead, the evaluation experts perform Fuzzy Selection on the indicators of various factors, and then calculate the selection results of the evaluation factor index system based on the established mathematical model. The process of fuzzy evaluation is to start with qualitative Fuzzy Selection, and then use the fuzzy conversion principle to calculate the result.

Ii. Construction of Comprehensive Evaluation Model
Index System Construction
Based on the analysis of factors that affect the overall capability of enterprise management, the indicators comprehensively reflect the capabilities of enterprises, it constructs an enterprise management Comprehensive Capability Evaluation Index System from the aspects of human resources, systems and innovation capabilities.
Determining the evaluation factor Set
A = {A1, A2 ,..., An}
Based on the comprehensive evaluation index system, set up evaluation index set a, level 1 evaluation index A = {A1, A2, A3 }={ Human Resources, system and innovation ability }. Secondary Evaluation Indicators Bi = {bi1, bi2 ,..., BIJ}, where I = 1, 2 ,..., N, N is the number of first-level indicators, and J is the number of indicators contained in the first-level indicator AI.
Determine the metric weight set
K = {K1, K2 ,..., KN}
The so-called weight coefficient indicates the importance of an indicator in the entire indicator system. The more important an indicator is, the greater the weight coefficient of the indicator is. On the contrary, the smaller the weight coefficient is. We can determine the weight of each indicator through expert scoring and analytic hierarchy process.
Confirm comment set
U = {u1, U2 ,..., UN}
The comment set is a set of possible results for various indicators. You can ask experts to evaluate and grade them. Based on the purpose of the enterprise's comprehensive management capability evaluation, we establish a comment set V:
U = {u1 (strong) u2 (medium), U3 (general), U4 (weak), U5 (weak )}
The Fuzzy Relationship from A to U can be described using the fuzzy evaluation matrix R:

R11 R12 ...... R1n
R21 R22 ...... R2n
R = ............

Rn1 rn2 ...... Rnn
Among them, rij (I =,... m; j =,... n) indicates the membership level of the I-level comment made on the I-level evaluation indicators.
N
Rij = wij/Σ wil I = 1, 2,... n
L = 1
Using the synthesis operation of the fuzzy matrix, the comprehensive evaluation model is obtained as P:
P = K · R = (P1, P2,... PN)
Set W = (W1, W2,... wn) t to a score set, which is a column vector. Among them, WI (I = 1, 2,... n) indicates the score of level I comments.
The product of the vector is used to calculate the final evaluation result F. F is a representative value: F = P · W

Iii. process of determining the weight of an indicator using analytic hierarchy process
Ask some experts to form an expert group to conduct the investigation. The purpose of the survey is to use the collective wisdom of experts to evaluate the relative importance of each indicator. Construct a judgment matrix based on the collected score table.
Expert Score Table 3.1
Scale value ~
　 　 　 　
　 　 　 　
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