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  • We consider the prototypical case of an increasing relationship between each of the input variables and the output variable. When using fuzzy rule-based models, this desired monotonicity is reflected in the rule base, given an appropriate ordering on the fuzzy sets involved in the respective input and output domains. However, fuzzy rule-based modelling involves a final defuzzification step, possibly resulting in a function that is no longer monotone. In the context of Mamdani--Assilian conjunctive fuzzy models, ample attention has been paid to this problem, both for the center-of-gravity defuzzification and mean-of-maxima defuzzification methods. In this paper, we show that for implicative fuzzy models, the non-monotonicity problem can be circumvented by making explicit the semantics of the fuzzy rules by subjecting the antecedent and consequent fuzzy sets to the at-least and/or at-most modifiers.
  • We consider the prototypical case of an increasing relationship between each of the input variables and the output variable. When using fuzzy rule-based models, this desired monotonicity is reflected in the rule base, given an appropriate ordering on the fuzzy sets involved in the respective input and output domains. However, fuzzy rule-based modelling involves a final defuzzification step, possibly resulting in a function that is no longer monotone. In the context of Mamdani--Assilian conjunctive fuzzy models, ample attention has been paid to this problem, both for the center-of-gravity defuzzification and mean-of-maxima defuzzification methods. In this paper, we show that for implicative fuzzy models, the non-monotonicity problem can be circumvented by making explicit the semantics of the fuzzy rules by subjecting the antecedent and consequent fuzzy sets to the at-least and/or at-most modifiers. (en)
Title
  • Implication-based models of monotone fuzzy rule bases
  • Implication-based models of monotone fuzzy rule bases (en)
skos:prefLabel
  • Implication-based models of monotone fuzzy rule bases
  • Implication-based models of monotone fuzzy rule bases (en)
skos:notation
  • RIV/61988987:17610/13:A1400ZO0!RIV14-MSM-17610___
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  • 1
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  • 79209
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  • RIV/61988987:17610/13:A1400ZO0
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  • Fuzzy rule-based models; Implicative models; Defuzzification; Monotonicity; At least and at most modifiers (en)
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http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [153BF184AD0A]
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  • FUZZY SET SYST
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 232
http://linked.open...iv/tvurceVysledku
  • Štěpnička, Martin
  • De Baets, Bernard
issn
  • 0165-0114
number of pages
http://localhost/t...ganizacniJednotka
  • 17610
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