AVERAGING LINGUISTIC TRUTH VALUES IN FUZZY APPROXIMATE REASONING

Authors
DILASCIO L GISOLFI A
Citation
L. Dilascio et A. Gisolfi, AVERAGING LINGUISTIC TRUTH VALUES IN FUZZY APPROXIMATE REASONING, International journal of intelligent systems, 13(4), 1998, pp. 301-318
Citations number
24
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
Journal title
International journal of intelligent systems → ACNP
ISSN journal
08848173
Volume
13
Issue
4
Year of publication
1998
Pages
301 - 318
Database
ISI
SICI code
0884-8173(1998)13:4<301:ALTVIF>2.0.ZU;2-9
Abstract
The properties of a new rule for fuzzy conditional inference are prese nted and discussed. The rule is based on the extended mean operator de fined on fuzzy numbers. The related propositions have the form ''X is A is tau,'' where tau is an element of the term set of the linguistic variable truth. The results obtained via the rule match with Fukami's and with the critical analysis carried out by Mizumoto and Zimmermann about the generalized modus ponens. (C) 1998 John Wiley & Sons, Inc.