Paper Info
Title
Uncertainty versus choice in rule-based fuzzy logic systems
Abstract
We demonstrate that some of the so-called uncertainties that may be present in a rule-based fuzzy logic system (FLS) are not uncertainties, but are instead choices that must be made as a result of the rich variety of mathematical models associated with the various elements of a FLS. We have established a hierarchy for the uncertainties and the choices, one that will hopefully guide us in developing FLS models that can better account for all sources of uncertainties than do present models. It seems that, at the very least, we must account for the uncertainties present in all rule-words, including connector words. This can be accomplished by using type-2 fuzzy sets for antecedent and consequent words and parametric operators for connector words
Year
DOI
Venue
2002
10.1109/FUZZ.2002.1006698
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference  
Keywords
DocType
Volume
fuzzy logic,fuzzy set theory,fuzzy systems,inference mechanisms,knowledge based systems,probability,uncertainty handling,antecedent words,choice,connector words,consequent words,parametric operators,rule-based fuzzy logic systems,rule-words,type-2 fuzzy sets,uncertainty,control systems,mathematical model,image processing,signal processing,helium,rule based,fuzzy sets
Conference
2
Citations 
PageRank 
References 
12
2.42
0
Authors
2
Name
Order
Citations
PageRank
Mendel, J.M.1122.42
Hongwei Wu2122.42