A Random Set Model for Fuzzy Labels

J Lawry, J Recasens

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)


A random set semantics for fuzzy labels is proposed in which we model the vagueness of fuzzy concepts in terms of their level of appropriateness as descriptions for values. This random set model is then shown to be characterised by a certain axiom system for appropriateness measures. It is then shown how some t-norms can generate appropriateness measures and an attempt is made to identify a family of t-norms that can be used consistently for this purpose. The calculus that is introduced is functional but not truth-functional.
Translated title of the contributionA Random Set Model for Fuzzy Labels
Original languageEnglish
Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty
Subtitle of host publication7th European Conference, ECSQARU 2003 Aalborg, Denmark, July 2-5, 2003 Proceedings
Number of pages13
ISBN (Electronic)9783540450627
ISBN (Print)9783540404941
Publication statusPublished - Sep 2003

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743

Bibliographical note

Publisher: Springer


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