What Is a Weighted Average Rating Factor?

Fuzzy comprehensive evaluation method is a comprehensive evaluation method based on fuzzy mathematics. The comprehensive evaluation method converts qualitative evaluation to quantitative evaluation according to the membership theory of fuzzy mathematics, that is, uses fuzzy mathematics to make an overall evaluation of things or objects restricted by various factors. It has the characteristics of clear results and strong systemicity. It can solve fuzzy and difficult to quantify problems, and is suitable for solving various non-deterministic problems.

Fuzzy comprehensive evaluation

Fuzzy comprehensive evaluation method is based on

The most significant features of the fuzzy comprehensive evaluation method are:

1.Construction of fuzzy comprehensive evaluation index

The fuzzy comprehensive evaluation index system is the basis for comprehensive evaluation. Whether the selection of the evaluation index is appropriate will directly affect the accuracy of the comprehensive evaluation. The construction of the evaluation index should be extensively related to the industry data of the evaluation index system or related laws and regulations.

2.Use to build a good weight vector

Construct the weight vector through expert experience method or AHP analytic method.

3.Evaluation matrix

Establish a suitable membership function to build a good evaluation matrix.

4.Combination of evaluation matrix and weights

They are synthesized using appropriate synthesis factors and the resulting vectors are interpreted.

The Ministry of Finance document "Notice of the Ministry of Finance on Strengthening the Management of the Evaluation of the Prices of Government Procured Goods and Services" (Caiku [2007] No. 2) stipulates:

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Fuzzy comprehensive evaluation method (fuzzy comprehensive evaluation method) is one of the most basic mathematical methods in fuzzy mathematics. This method uses fuzzy membership to describe fuzzy boundaries.

Due to a series of problems such as the complexity of the evaluation factors, the gradation of the evaluation objects, the ambiguity in the evaluation standards, the ambiguity or uncertainty of the evaluation influencing factors, and the difficulty in quantifying qualitative indicators, it is difficult for people to use absolute "This is the other" to accurately describe the objective reality, there are often vague phenomena of "also this and the other", and its description is often expressed in natural language. The biggest feature of natural language is its ambiguity, and this ambiguity It is difficult to uniformly measure with classical mathematical models. Therefore, the fuzzy comprehensive evaluation method based on the fuzzy set comprehensively evaluates the membership status of the evaluated object from multiple indicators. It divides the change interval of the evaluated object, on the one hand, it can take into account the object's hierarchy. , So that the ambiguity of evaluation standards and influencing factors can be reflected; on the other hand, in the evaluation, human experience can be fully utilized to make the evaluation results more objective and consistent with the actual situation. Fuzzy comprehensive evaluation can combine qualitative and quantitative factors, expand the amount of information, increase the number of evaluations, and make the evaluation conclusion credible.

There are many traditional comprehensive evaluation methods and their applications are more extensive, but no one method can be suitable for various places and solve all problems. Each method has its focus and main application areas. If you want to solve new problems in new fields, fuzzy synthesis is obviously more suitable.

The fuzzy evaluation method is based on fuzzy mathematics. Fuzzy mathematics was born in 1965 by his founder LAZadeh, an American expert in automatic control.

In the late 1980s, Japan applied fuzzy technology to many fields such as robotics, process control, subway locomotives, traffic management, fault diagnosis, medical diagnosis, voice recognition, image processing, and market prediction. The application of fuzzy theory and fuzzy method in Japan and the huge market prospects have greatly shaken the Western business community and have been generally recognized in the academic world.

Domestic research on fuzzy mathematics and fuzzy comprehensive evaluation has started relatively late, but in recent years, applications in various fields (such as medicine, construction, environmental quality supervision, water conservancy, etc.) have also begun to show results.