Fuzzy implications and inference processes

József Tick, J. Fodor

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

We define fuzzy implications in general, then study their families defined from t-norms, t-conorms and strong negations. Connections between such implications and negations are established. Some basic results are presented concerning the contrapositive symmetry property. The study gives birth to a new class of t-norms. Members of this family, together with the corresponding R-implications, have attractive properties making them competitive in different applications, especially in fuzzy inference rules.

Original languageEnglish
Pages (from-to)591-602
Number of pages12
JournalComputing and Informatics
Volume24
Issue number6
Publication statusPublished - 2005

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Fuzzy inference

Keywords

  • Fuzzy inference
  • Implications
  • Nilpotent minimum
  • t-norms and t-conorms

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Fuzzy implications and inference processes. / Tick, József; Fodor, J.

In: Computing and Informatics, Vol. 24, No. 6, 2005, p. 591-602.

Research output: Contribution to journalArticle

Tick, József ; Fodor, J. / Fuzzy implications and inference processes. In: Computing and Informatics. 2005 ; Vol. 24, No. 6. pp. 591-602.
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