Research on Differential Weight Design Model of Power Grid Enterprise Asset Equipment Health Base on Fuzzy Logic and Machine Learning

Abstract

Based on fuzzy logic and machine learning to the design and analysis of the basic weight of the asset management health evaluation model, from the subjective weight design and objective weight design two aspects, using analytic hierarchy process and entropy weight method to set the subjective and objective weight, and then through the combination of subjective and objective weight evaluation method, can achieve the effect of learning from each other. For the design of differentiation weight, based on the design of basic weight, the differentiation weight model is constructed by considering the development stage difference of asset health and the regional difference and the dynamic characteristics of evaluation indicators. The weight design model based on differentiation analysis is constructed based on hall 3D model.