Fuzzy-valued transitive inclusion measure, similarity measure and application to approximate reasoning

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Abstract

In fuzzy set theory, inclusion measure indicates the degree to which a given fuzzy set is contained in another fuzzy set. Many inclusion measures taking values in [0,1] have been made in the literature. This paper proposes a series of fuzzy-valued inclusion measures which, by a relation view, are reflexive, antisymmetric and I-transitive where I is a left-continuous triangular norm; In addition, they possess most of the axiomatic properties which are postulated by Sinha and Dougherty for an inclusion measure. Fuzzy-valued similarity measures are also defined by the fuzzy-valued inclusion measures; They have I-transitivity and properties introduced by Liu for a similarity measure. Lastly two methods for inference in approximate reasoning based on the fuzzy-valued inclusion measure and the fuzzy-valued similarity measure are studied.

Original languageEnglish
Title of host publicationRough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Proceedings
PublisherSpringer Verlag
Pages435-442
Number of pages8
ISBN (Print)9783540724575
DOIs
StatePublished - 2007
Event2nd International Conference on Rough Sets and Knowledge Technology, RSKT 2007 - Toronto, Canada
Duration: 14 May 200716 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4481 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Rough Sets and Knowledge Technology, RSKT 2007
Country/TerritoryCanada
CityToronto
Period14/05/0716/05/07

Keywords

  • Fuzzy inference
  • Fuzzy-valued inclusion measure
  • Fuzzy-valued similarity measure

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