id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_iqaoqole7nf33bhdqwmgmfeauq	Ning Xiong	Learning fuzzy rules for similarity assessment in case-based reasoning	2011	6	.pdf	application/pdf	4387	452	65	Fuzzy Dissimilarity Learning in Case-Based Reasoning Abstract: Case-based reasoning (CBR) attempts to solve new problems by using previous experiences. This paper proposes a novel CBR approach that exploits dissimilarity information in A fuzzy dissimilarity model consisting of fuzzy rules has been developed for assessing Key-Words: case-based reasoning; similarity; dissimilarity; case library; fuzzy rles; fuzzy reasoning Case-based reasoning (CBR) presents an important case from the library is dissimilar to the problem in dissimilarity between case Ci and query problem Q 5 Learning Fuzzy Dissimilarity Rules 5 Learning Fuzzy Dissimilarity Rules dissimilarity rules from a small number of cases, we data set as the case base used for learning and the The fuzzy rules learnt from the case base employing the learned fuzzy dissimilarity models. rules for assessing dissimilarity between cases. and similarity modeling in case-based reasoning R. Yager, Case-based reasoning, fuzzy systems similarity in case-based reasoning and fuzzy theory, 	./cache/work_iqaoqole7nf33bhdqwmgmfeauq.pdf	./txt/work_iqaoqole7nf33bhdqwmgmfeauq.txt