Review of the research of granular fuzzy rule-based modeling
The purpose of this paper is to explore the main research and construction method for granular fuzzy rule model,and make a systematic analysis and summary of it.Granular computing is an emerging theoretical system that simulates patterns of human thinking and solves complex problems,and the granular model based on it explores a new direction for the description and problem solving of complex nonlinear system.Among which the granular fuzzy rule-based model incorporates information granule into existing fuzzy rule-based modeling methods to achieve granular-level system modeling for data analysis and inference at a higher level.This paper first briefly introduces the basics of fuzzy clustering and fuzzy rule-based models,next summarizes the construction method of information granules and discusses corresponding evaluation methods.Further,the design architecture and optimization method are summarized.
granular computinginformation granulefuzzy rulefuzzy C-means clusteringgranulation and degranula-tiongranularityprototypefuzzy set
万方数据
维普
