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Quantales for Fuzzy Sets and Relations of Higher Types
Department of Computing Science, Umeå University, Umeå, Sweden.ORCID iD: 0000-0003-3965-2834
Department of Information Technology, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-2014-1308
2025 (English)In: Mathematics, E-ISSN 2227-7390, Vol. 13, no 13, article id 2159Article in journal (Refereed) Published
Abstract [en]

In this paper, we open up more possibilities to define higher types of fuzzy sets in a mixed way. In doing so, we show that there are essentially two alternative definitions for fuzzy sets of higher types, one of which is widely adopted in the literature, and one where the unit interval, or subsets thereof, is used to represent membership values. The other alternative definition opens up new perspectives for the use of fuzzy sets of higher types, and it promotes the use of other algebraic structures of sets of membership values, where quantales are seen as particularly useful, also in applications. The paper also underlines the importance of making distinctions between “computing with fuzzy” and “fuzzy computing” and understanding the difference between “logic with fuzzy” and “fuzzy logic”.

Place, publisher, year, edition, pages
MDPI, 2025. Vol. 13, no 13, article id 2159
Keywords [en]
fuzzy set of higher type, fuzzy term, quantale, design structure
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-122247DOI: 10.3390/math13132159ISI: 001526435300001OAI: oai:DiVA.org:oru-122247DiVA, id: diva2:1980553
Funder
Vinnova, 2021-04650
Note

Special Issue Fuzzy Logic and Soft Computing—In Memory of Lotfi A. Zadeh

Available from: 2025-07-02 Created: 2025-07-02 Last updated: 2025-07-23Bibliographically approved

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Löfstrand, Magnus

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