Fuzzy Analytic Hierarchy Process (FAHP) is a method that combines FAHP and Analytic Hierarchy Process. Analytic hierarchy process is the only method. Generally speaking, Analytic Hierarchy Process (AHP) is used to do two things. One is to subdivide the target into many different indicators or aspects according to the hierarchy; The second is to use it when determining the weight. But most people only call the part that determines the weight analytic hierarchy process. Fuzzy mathematics evaluation was put forward by Chad, an American cybernetic expert, in 1965. The "membership degree" in fuzzy mathematics is introduced, and the fuzzy index is treated with membership function. Fuzzy mathematics evaluation quantifies the measurement value of the index by the score of the scheme described by the membership function, which can better solve the fuzziness in comprehensive evaluation (such as the fuzziness between factor categories and the fuzziness in expert knowledge evaluation). ) and minimize human factors, so this mathematical tool is very suitable for auditing the performance of environmental investment projects. The concrete process of fuzzy mathematics evaluation mainly includes six aspects: determining factor set, dimensionless treatment of evaluation index, giving the weight of each index layer, establishing evaluation grade set, determining membership relationship, establishing fuzzy evaluation matrix, and operating fuzzy matrix to get fuzzy comprehensive evaluation results. In short, it is a comprehensive method to turn the evaluation language into a numerical score, then multiply it by a matrix vector, and finally get the evaluation result. In other words, the fuzzy evaluation method is a comprehensive method to judge and select schemes, and the analytic hierarchy process is responsible for index subdivision and weight design. If you don't understand, you can only read more papers. . .