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Issue title: Special Section: Collective intelligence in information systems
Guest editors: Ngoc Thanh Nguyen, Edward Szczerbicki, Bogdan Trawiński and Van Du Nguyen
Article type: Research Article
Authors: Nguyen, Linh Anha; b | Nguyen, Ngoc-Thanhc; *
Affiliations: [a] Institute of Informatics, University of Warsaw, Warsaw, Poland | [b] Faculty of Information Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam | [c] Department of Information Systems, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Poland
Correspondence: [*] Corresponding author. Ngoc-Thanh Nguyen, E-mail: [email protected].
Abstract: We study the problem of minimizing interpretations in fuzzy description logics (DLs) under the Gödel semantics by using fuzzy bisimulations. The considered logics are fuzzy extensions of the DL 𝒜ℒ𝒞reg (a variant of propositional dynamic logic) with additional features among inverse roles, nominals and the universal role. Given a fuzzy interpretation ℐ and for E being the greatest fuzzy auto-bisimulation of ℐ w.r.t. the considered DL, we define the quotient ℐ/E of ℐ w.r.t. E and prove that it is minimum w.r.t. certain criteria. Namely, ℐ/E is a minimum fuzzy interpretation that validates the same set of fuzzy terminological axioms in the considered DL as ℐ. Furthermore, if the considered DL allows the universal role, then ℐ/E is a minimum fuzzy interpretation bisimilar to ℐ, as well as a minimum fuzzy interpretation that validates the same set of fuzzy concept assertions in the considered DL as ℐ.
Keywords: fuzzy description logic, fuzzy bisimulation, bisimilarity, Gödel semantics, minimization
DOI: 10.3233/JIFS-179371
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7669-7678, 2019
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