DocumentCode :
3124091
Title :
Strongly interacting knowledge granules
Author :
Whalen, Thomas
Author_Institution :
Georgia State Univ., Atlanta, GA, USA
Volume :
3
fYear :
1999
fDate :
22-25 Aug. 1999
Firstpage :
1609
Abstract :
A knowledge granule expressed as a material implication rule is strong to the degree that the fuzzy restriction it imposes is a strict one. When two rules interact strongly, there is no y value that is 100% compatible with both rules for x between the rules´ antecedent cores. This paper considers the effects on the behavior of strongly interacting R-implications based on the Schweizer-Sklar parameterized T-norms (1961) as the parameter varies from -/spl infin/ to +/spl infin/. Bases for comparison include (1) the shape of the membership function of the fuzzy set of y values compatible with a given x and the interacting rules, and (2) the defuzzified value of y obtained from this fuzzy set by mean-of-mode and best-kernel defuzzification.
Keywords :
fuzzy set theory; knowledge engineering; antecedent cores; best-kernel defuzzification; fuzzy restriction; fuzzy set; material implication rule; mean-of-mode defuzzification; membership function; parameterized T-norms; strongly interacting R-implications; strongly interacting knowledge granules; Artificial intelligence; Fuzzy sets; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
ISSN :
1098-7584
Print_ISBN :
0-7803-5406-0
Type :
conf
DOI :
10.1109/FUZZY.1999.790145
Filename :
790145
Link To Document :
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