DocumentCode
3029030
Title
Qualitative fuzzy sets and granularity
Author
Lin, T.Y. ; Tsumoto, Shusaku
Author_Institution
Dept. of Math. & Comput. Sci., San Jose State Univ., San Jose, CA
fYear
2008
fDate
14-16 Aug. 2008
Firstpage
435
Lastpage
440
Abstract
This paper proposes qualitative fuzzy sets, where each membership function is able to tolerate "small amounts" of perturbations. This can be viewed as one of the type II fuzzy sets, where the grade of a membership function is represented by a fuzzy number. In this paper, we surveyed our qualitative fuzzy sets from the viewpoint of category theory.
Keywords
category theory; fuzzy set theory; number theory; category theory; fuzzy number; membership function; qualitative fuzzy sets; type II fuzzy sets; Biomedical informatics; Cities and towns; Cognitive informatics; Computer science; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Mathematics; Numerical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
Conference_Location
Stanford, CA
Print_ISBN
978-1-4244-2538-9
Type
conf
DOI
10.1109/COGINF.2008.4639198
Filename
4639198
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