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.
关键词
粒计算/信息粒/模糊规则/模糊C均值聚类/粒化和解粒化/粒度/原型/模糊集
Key words
granular computing/information granule/fuzzy rule/fuzzy C-means clustering/granulation and degranula-tion/granularity/prototype/fuzzy set
维普
万方数据