模糊推理算法的研究进展  

Advances in Fuzzy Reasoning Algorithm

作　　者：邓冠男[1] 

机构地区：[1]东北电力大学理学院,吉林吉林132012

出　　处：《东北电力大学学报》2013年第6期64-70,共7页Journal of Northeast Electric Power University

基　　金：国家自然科学基金项目(11226263;11201057);吉林省自然科学基金项目(201215165;201302060065F)

摘　　要：随着模糊集的产生与发展,模糊推理已经成为计算智能领域的重要组成部分。对于模糊推理的基本问题,国内外学者进行了广泛研究,提出多种模糊推理算法。为了深入理解各种模糊推理算法,综述了模糊推理算法的研究进展,重点分析CRI方法、模糊推理的全蕴涵三I算法、基于相似度的模糊推理算法以及真值流模糊推理的现状及进展,希望能为模糊推理算法的研究提供引导作用。With the development of fuzzy sets,fuzzy reasoning has become an important field of computational intelligence. For the basic problem of fuzzy reasoning,a lot of studies have been done,and many fuzzy reason-ing algorithms have been proposed. To understand these algorithms,the advances of fuzzy reasoning algorithms, such as CRI method,the full implication triple I method,the fuzzy reasoning methods based on the similarity and the truth-valued flow method are reviewed. Its purpose is to provide the guidance on the further study of fuzzy reasoning.

关 键 词：模糊集 模糊推理 CRI方法 三I算法 相似度 

分 类 号：O159[理学—数学]