Abstract
Any fuzzy set X in a classical set A with values in a complete (residuated) lattice Ω can be identified with a system of α-cuts X α , α ∈ Ω. Analogical results were proved for sets with similarity relations with values in Ω (e.g. Ω-sets) which are objects of two special categories K = Set(Ω) or SetR(Ω) of Ω-sets and for fuzzy sets defined as morphisms from Ω-set into a special Ω-set (Ω, ↔ ). These fuzzy sets can be defined equivalently as special cut systems (C α ) α , called f-cuts. That equivalence then represents a natural isomorphism between covariant functor of fuzzy sets \({\cal F}_{\bf K}\) and covariant functor of f-cuts \({\cal C}_{\bf K}\). In the paper we are interested in relationships between sets of fuzzy sets and sets of f-cuts in an Ω-set (A,δ) in corresponding categories Set(Ω) and SetR(Ω), which are endowed with binary operations extended either from binary operations in the lattice Ω, or from binary operations defined in a set A by the generalized Zadeh’s extension principle. We prove that the final binary structures are (under some conditions) isomorphic.
This work was supported by the European Regional Development Fund in the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02.0070).
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References
Bělohlávek, R.: Fuzzy relational systems, Foundations and Principles. Kluwer Academic Publ., Dordrecht (2002)
Bělohlávek, R., Vychodil, V.: Fuzzy equational logic. Springer, Heidelberg (2005)
Fourman, M.P., Scott, D.S.: Sheaves and logic. Lecture Notes in Mathematics, vol. 753, pp. 302–401. Springer, Heidelberg (1979)
Höhle, U.: M-Valued sets and sheaves over integral, commutative cl-monoids. In: Applications of Category Theory to Fuzzy Subsets, pp. 33–72. Kluwer Academic Publ., Dordrecht (1992)
Höhle, U.: Fuzzy sets and sheaves. Part I, Basic concepts. Fuzzy Sets and System 158, 1143–1174 (2007)
Höhle, U.: Fuzzy sets and sheaves Part II: Sheaf-theoretic foundations of fuzzy set theory with applications to algebra and topology. Fuzzy Sets and System 158, 1175–1212 (2007)
Močkoř, J.: Fuzzy Sets in Categories of Sets with Similarity Relations. In: Computational Intelligence, Theory and Applications, pp. 677–682. Springer, Heidelberg (2006)
Močkoř, J.: Cut systems in sets with similarity relations. Fuzzy Sets and Systems 161(24), 3127–3140 (2010)
Močkoř, J.: Fuzzy sets and cut systems in a category of sets with similarity relations. Soft Computing 16, 101–107 (2012)
Močkoř, J.: Morphisms in categories of sets with similarity relations. In: Proceedings of IFSA Congress/EUSFLAT Conference, Lisabon, pp. 560–568 (2009)
Močkoř, J.: Fuzzy objects in categories of sets with similarity relations. In: Computational Intelligence, Theory and Applications, pp. 677–682. Springer, Heidelberg (2006)
Novák, V., Perfilijeva, I., Močkoř, J.: Mathematical principles of fuzzy logic. Kluwer Academic Publishers, Boston (1999)
Mac Lane, S.: Categories for the Working Mathematician. Springer, Heidelberg (1971)
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Močkoř, J. (2013). Isomorphisms of Fuzzy Sets and Cut Systems. In: Rojas, I., Joya, G., Gabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38679-4_38
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DOI: https://doi.org/10.1007/978-3-642-38679-4_38
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