Performance Evaluation Method of Rural Forestry Economic Cooperation Organization Based on Intelligent Fuzzy Algorithm

Abstract

Aiming at the problems of low accuracy and long evaluation time of performance evaluation of rural forestry economic cooperation organizations, a performance evaluation method of rural forestry economic cooperation organizations based on intelligent fuzzy algorithm is proposed. Under the principles of scientificity, feasibility, comprehensiveness, and importance, build the performance evaluation system of rural forestry economic cooperation organization, and obtain 17 evaluation indexes, such as the supply of means of production, the internal management of the cooperation organization, and the unified product brand. Deal with the missing data and standardize the index data, construct the evaluation index judgment matrix according to the judgment matrix scale, and test the consistency of the judgment matrix through CI. The square root method is used to calculate the performance evaluation index weight of rural forestry economic cooperation organization. Intelligent fuzzy algorithm is used to evaluate the performance of rural forestry economic cooperation organization. Simulation results show that this method has high accuracy and short evaluation time.