DocumentCode
3108383
Title
Granularity and specificity in fuzzy function approximation
Author
Sudkamp, Thomas ; Hammell, Robert J., II
Author_Institution
Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
fYear
1998
fDate
20-21 Aug 1998
Firstpage
105
Lastpage
109
Abstract
This paper describes some preliminary investigations into the relationships between granularity and specificity in fuzzy rule bases. It proposes a strategy for learning fuzzy rules that optimizes granularity based on a desired degree of specificity. In addition, this approach may be used to combine rule bases of various degrees of granularity
Keywords
function approximation; fuzzy set theory; knowledge based systems; learning (artificial intelligence); uncertainty handling; fuzzy function approximation; fuzzy rule bases; fuzzy set theory; granularity; learning; specificity; Application software; Automatic control; Computer science; Function approximation; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Laboratories; Marine vehicles; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location
Pensacola Beach, FL
Print_ISBN
0-7803-4453-7
Type
conf
DOI
10.1109/NAFIPS.1998.715546
Filename
715546
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