DocumentCode :
2246043
Title :
Situation-dependent fuzzy rating based on analogical reasoning
Author :
Hayashi, Atsushi ; Onisawa, Takehisa
Author_Institution :
Graduate Sch. of Syst. & Inf. Eng., Tsukuba Univ., Ibaraki, Japan
Volume :
2
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
675
Abstract :
A rating scale method is used for the subjective evaluation and the rating scale method with fuzzy theory is called fuzzy rating. This paper proposes situation-dependent fuzzy rating based on analogical reasoning which applies analogy to the fuzzy rating considering situations. Proposed method assumes that mapping as analogy exists between situations and that fuzzy sets expressing categories in one situation are obtained by those expressing same categories in another situation and analogical reasoning. The usefulness of the presented method is confirmed by the experiments comparing fuzzy sets obtained by the conventional fuzzy rating with those obtained by the presented method. Similarity and the width of a fuzzy set are used for the comparison. Experimental results show that both fuzzy sets are similar and that the presented method is useful for the situation-dependent fuzzy rating.
Keywords :
case-based reasoning; fuzzy reasoning; fuzzy set theory; analogical reasoning; fuzzy set theory; rating scale method; situation dependent fuzzy rating method; subjective evaluation; Artificial intelligence; Educational institutions; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Object detection; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN :
1098-7584
Print_ISBN :
0-7803-8353-2
Type :
conf
DOI :
10.1109/FUZZY.2004.1375479
Filename :
1375479
Link To Document :
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