DocumentCode :
507222
Title :
Fuzzy Sets in Case-Based Reasoning
Author :
Voskoglou, Michael Gr
Author_Institution :
Sch. of Technol. Applic., Grad. Technol. Educ. Inst. (T.E.I.), Patras, Greece
Volume :
6
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
252
Lastpage :
256
Abstract :
Both Case-Based Reasoning (CBR) and Fuzzy Systems are intended as cognitively more plausible approaches to problem-solving and learning. The two corresponding fields have emphasized different aspects that complement each other in a reasonable way. In the present paper we introduce a fuzzy model for the representation of a CBR system, which is based on the formalization of CBR as a four steps process (retrieve, reuse, revise, retain). An application is also presented to illustrate our results.
Keywords :
case-based reasoning; fuzzy set theory; case-based reasoning; fuzzy model; fuzzy sets; fuzzy systems; problem solving; Artificial intelligence; Competitive intelligence; Concrete; Educational technology; Fuzzy sets; Fuzzy systems; Intelligent systems; Law; Problem-solving; Uncertainty; Fuzzy sets; case-based reasoning; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.667
Filename :
5359840
Link To Document :
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