General type-2 FLS with uncertainty generated by fuzzy rough sets

General type-2 FLS with uncertainty generated by fuzzy rough sets

In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time,...

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Bibliographische Detailangaben
1. Verfasser: Starczewski, J T
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation methods
Construction industry
Fuzzy logic
Fuzzy sets
Noise measurement
Rough sets
Uncertainty
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Beschreibung
Zusammenfassung:In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.
ISSN:1098-7584
DOI:10.1109/FUZZY.2010.5584238