文章基本信息

标题：THE ROLE OF FUZZY LOGIC IN CASE-BASED REASONING: A SURVEY
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作者：Nabanita Choudhury ; Shahin Ara Begum
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：3
页码：333-340
出版社：Engg Journals Publications
摘要：Case-based Reasoning (CBR) is an Artificial Intelligence (AI) paradigm that attempts to solve newproblems based on its past experiences of solving similar problems. Due to the intrinsic similarity of CBRwith human reasoning process, it is used for automated problem-solving. The effectiveness of CBR can beenhanced by combining it with other AI techniques. One such approach is the inclusion of fuzzy logic inCBR. This paper surveys the application of fuzzy logic in each of the four phases of CBR. We also presenta brief overview on some of the fuzzy-CBR systems developed for a wide range of real world applications.
关键词：case-based reasoning; artificial intelligence; fuzzy logic; fuzzy-CBR.