It has the characteristics of clear results and strong systematicness, and can solve vague and difficult-to-quantify problems well, and is suitable for solving various uncertain problems.
At the end of 1980s, Japan applied fuzzy technology to many fields, such as robot, process control, subway locomotive, traffic management, fault diagnosis, medical diagnosis, speech recognition, image processing, market prediction and so on. The application of fuzzy theory and fuzzy method in Japan and its huge market prospect have greatly shocked western business circles and been widely recognized by academic circles.
General steps of fuzzy comprehensive evaluation method;
1, construction of fuzzy comprehensive evaluation index
Fuzzy comprehensive evaluation index system is the basis of comprehensive evaluation, and the selection of evaluation index will directly affect the accuracy of comprehensive evaluation. The construction of evaluation index should be widely related to the industry data of evaluation index system or related laws and regulations.
2. Using the construction weight vector
Establish a good weight vector through expert experience method or analytic hierarchy process.
3. Build an evaluation matrix
Establish appropriate membership function and build a good evaluation matrix.
4. Synthesis of evaluation matrix and weight
Synthesize by appropriate synthesis factors, and explain the result vector.