Polynomial crisp-minimization algorithm for fuzzy deterministic automata

dc.contributor.authorGonzález de Mendívil Grau, Aitor
dc.contributor.authorFariña Figueredo, Federico
dc.contributor.authorStanimirovic, Stefan
dc.contributor.authorMicic, Ivana
dc.contributor.authorGonzález de Mendívil Moreno, José Ramón
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2024-11-05T12:13:31Z
dc.date.issued2024-11-01
dc.date.updated2024-11-05T12:08:43Z
dc.description.abstractDesigning automata minimization algorithms is a significant topic in Automata Theory and Languages with practical applications. In this paper, we develop an efficient minimization algorithm for deterministic fuzzy finite automata over locally finite lattices. More precisely, the algorithm outputs an equivalent minimal crisp-deterministic fuzzy finite automaton for an input fuzzy deterministic finite automaton (FDfA). The running time of the proposed algorithm is polynomial for particular types of locally finite lattices, specifically for max-min-based complete residuated lattices. The intuition behind the proposed algorithm relies on the polynomial minimization algorithm's intuition for ordinary deterministic automata developed by Vazquez de Parga, Garcia, and Lopez (2013) [35]. The motivation for this study comes from the fact that the original algorithm's notions and meanings are lost in the context of fuzzy automata. Thus, we establish a new theoretical foundation that provides the correctness and the polynomial-time nature of this new crisp-minimization algorithm for FDfAs.en
dc.description.sponsorshipS. Stanimirovic and I. Micic acknowledge the support of the Science Fund of the Republic of Serbia, Grant No. 7750185, Quantitative Automata Models: Fundamental Problems and Applications - QUAM. They are also supported by the Ministry of Science, Technological Development and Innovation, Republic of Serbia, Contract No. 451-03-65/2024-03/200124.
dc.embargo.lift2026-11-01
dc.embargo.terms2026-11-01
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGonzález de Mendívil Grau, A., Fariña, F., Stanimirovic, S., Micic, I., González de Mendívil, J. R. (2024). Polynomial crisp-minimization algorithm for fuzzy deterministic automata. Fuzzy Sets and Systems, 495-496, 1-19. https://doi.org/10.1016/j.fss.2024.109108.
dc.identifier.doi10.1016/j.fss.2024.109108
dc.identifier.issn0165-0114
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52449
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofFuzzy Sets and Systems (2024), vol. 495-496, 109108
dc.relation.publisherversionhttps://doi.org/10.1016/j.fss.2024.109108
dc.rights© 2024 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0.
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBrzozowski's algorithmen
dc.subjectDeterministic fuzzy automatonen
dc.subjectFuzzy átomatonen
dc.subjectLocally finite latticesen
dc.subjectMinimization algorithmen
dc.titlePolynomial crisp-minimization algorithm for fuzzy deterministic automataen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication8462737f-e46e-4be7-8741-66da50af6c1d
relation.isAuthorOfPublication1c9265d3-e49f-4171-a180-c0450d53173b
relation.isAuthorOfPublication.latestForDiscoveryb5b89afd-b97e-47ff-a168-fe99ad4607b0

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