Hierarchical Storage Model and Priority Ranking Method of Rules in Rule-based Reasoning System

Abstract

It is very difficult to create the fault trees based on components framework for some complex equipment. So a multi-hierarchy diagnosis method based on fault categories is proposed in this paper. The according storage model of rules is designed, and the concept of rule priority is introduced. Then, a rule priority ranking method based on fuzzy multi-attribute group decision making method is proposed. Finally, the uncertainty diagnosis reasoning flow and the credibility transfer algorithm based on the proposed multi-hierarchy diagnosis reasoning method and rule priority ranking method are detailed. The application case and analysis show that the proposed method has a good performance on the aspect of conflict resolution, and can improve diagnosis efficiency markedly.

Keywords:

• rule priority ranking
• hierarchical fault diagnosis
• fuzzy multi-attribute group decision making (FMAGDM)
• uncertainty reasoning
• decision support system