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