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Author Villar, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy sets ♦ Mathematical model ♦ Performance evaluation
Abstract When inference is performed with the compositional rule of inference (CRI), fuzzy rules can be mathematically modelled by a pair of operators, the implication function and the modus ponens generating function, each pair being a possible model for the rule. Analysing the firing condition of fuzzy rules, that is the condition the hypothesis and the observation must verify to infer a non-trivial conclusion, it is possible to get a deeper understanding of the behaviour of the different models that can be used, and valuable semantic criteria can be obtained to select the best suitable model. The firing condition of any model can be expressed by means of a generalised possibility or necessity measure generated by its implication and modus ponens generating functions, measures that quantify the amount of uncertainty or possibilistic uncertainty of the conclusion. Two different types of possibility distributions can be identified as those concluded from different types of models, that is necessary and possible possibility distributions, corresponding to necessary and possible conclusions.
Description Author affiliation: Instituto de Investigacion Tecnologica, Univ. Pontificia Comillas, Madrid, Spain (Villar, J.)
ISBN 0780337964
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-07-05
Publisher Place Barcelona
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 584.94 kB
Page Count 6
Starting Page 543
Ending Page 548


Source: IEEE Xplore Digital Library