Publication:
Finite determinization of fuzzy automata using a parametric product-based t-norm

Consultable a partir de

2026-07-15

Date

2024

Authors

Micic, Ivana
Stanimirovic, Stefan
Ciric, Miroslav
Jancic, Zorana

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Publisher

Elsevier
Acceso embargado / Sarbidea bahitua dago
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

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Abstract

This paper presents a novel approach for the approximate determinization of fuzzy automata over the product structure. We introduce the parametric modification of the product t-norm in the pre-determinization setting. On the one hand, the behavior of a fuzzy automaton over the parametric t-norm differs from the behavior of the fuzzy automaton over the product t-norm only in words with a degree of acceptance below the given parameter. However, using the parametric t-norm, we obtain an algorithm that outputs a finite minimal deterministic fuzzy automaton whose behavior differs from the starting fuzzy automaton described above. By setting the parameter to a sufficiently small value, the proposed algorithm provides a deterministic fuzzy automaton with behavior that differs insignificantly from the starting fuzzy automaton, as the difference is achieved only for words accepted by the starting fuzzy automaton with an insignificant value. As a tradeoff, the proposed approach provides finite determinization, even when all other determinization methods would result in an infinite deterministic automaton. We support this fact with an illustrative example.

Description

Keywords

Brzozowski's procedure, Finite determinization, Fuzzy automata, Minimal deterministic fuzzy automaton, Parametric t-norm, Product t-norm

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Institute of Smart Cities - ISC

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item.page.cita

Micic, I., Stanimirovic, S., González de Mendívil, J. R., Ciric, M., Jancic, Z. (2024). Finite determinization of fuzzy automata using a parametric product-based t-norm. Fuzzy Sets and Systems, 488, 1-14. https://doi.org/10.1016/j.fss.2024.108990.

item.page.rights

© 2024 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0

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