Evaluation of fuzzy quantified expressions

Anca L. Ralescu, Dan A. Ralescu, Kaoru Hirota

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

We present a fuzzy logic based quantitative treatment for expressions containing quantifiers. For this we develop an evaluation procedure for the truth value of expressions of the form Qx ⋴ X, p(x) where Qx ⋴ X is a quantifier and p is a predicate defined on X. This procedure is consistent, in the sense that it can be applied uniformly regardless of the type (exact or imprecise) of the quantifier and/or predicate used.

Original languageEnglish
Title of host publicationFuzzy Logic in Artificial Intelligence - IJCAI 1997 Workshop, Selected and Invited Papers
EditorsAnca L. Ralescu, Anca L. Ralescu, James G. Shanahan
PublisherSpringer Verlag
Pages234-244
Number of pages11
ISBN (Print)3540663746, 9783540663744
DOIs
Publication statusPublished - 1999
Externally publishedYes
EventFuzzy Logic in Artificial Intelligence Workshop held in conjunction with International Joint Conference on Artificial Intelligence, IJCAI 1997 - Nagoya, Japan
Duration: 23 Aug 199724 Aug 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1566
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceFuzzy Logic in Artificial Intelligence Workshop held in conjunction with International Joint Conference on Artificial Intelligence, IJCAI 1997
Country/TerritoryJapan
CityNagoya
Period23/08/9724/08/97

Keywords

  • Fuzzy cardinality
  • Fuzzy quantifiers
  • Truth value

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