Fuzzy similarity measures and measurement theory

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jun 2019 France Publisher:IEEEJournal:2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Authors: Coletti, Giulianella; Bouchon-Meunier, Bernadette;

doi: 10.1109/fuzz-ieee.2019.8858793

Fuzzy similarity measures and measurement theory

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Abstract

We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement introduced by Tversky, we establish necessary and sufficient conditions for the existence of a particular class of fuzzy similarity measures, agreeing with an ordering relation among pairs of objects which express the idea that two objects are "no more similar than" two others.

Country

France

Related Organizations

University of Perugia
Italy
University of Paris
France
French National Centre for Scientific Research
France
Sorbonne University
France
Sorbonne Paris Cité
France

Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]

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