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Fuzzy entropy from weak fuzzy subsethood measures

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journal contribution
posted on 2010-01-01, 00:00 authored by M Galar, H Bustince, J Fernandez, J Sanz, Gleb BeliakovGleb Beliakov
In this paper, we propose a new construction method for fuzzy and weak fuzzy subsethood measures based on the aggregation of implication operators. We study the desired properties of the implication operators in order to construct these measures. We also show the relationship between fuzzy entropy and weak fuzzy subsethood measures constructed by our method.

History

Journal

Neural network world : international journal on non-standard computing and artificial intelligence

Volume

20

Issue

1

Pagination

139 - 158

Publisher

Czech Technical University in Prague, Faculty of Transportation Sciences

Location

Prague, Czech Republic

ISSN

1210-0552

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, ICS AS CR

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    Keywords

    implication operatorfuzzy subsethood measuresweak fuzzy subsethood measuresfuzzy entropyScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceSET INCLUSIONFUZZIFICATIONCONSTRUCTIONDEFINITIONFAMILYArtificial Intelligence and Image Processing

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