Fuzzy subalgebra
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Fuzzy subalgebras theory is a chapter of
fuzzy set theory In mathematics, fuzzy sets (a.k.a. uncertain sets) are sets whose elements have degrees of membership. Fuzzy sets were introduced independently by Lotfi A. Zadeh in 1965 as an extension of the classical notion of set. At the same time, defined ...
. It is obtained from an interpretation in a multi-valued logic of axioms usually expressing the notion of
subalgebra In mathematics, a subalgebra is a subset of an algebra, closed under all its operations, and carrying the induced operations. "Algebra", when referring to a structure, often means a vector space or module equipped with an additional bilinear operat ...
of a given algebraic structure.


Definition

Consider a first order language for algebraic structures with a monadic predicate symbol S. Then a ''fuzzy subalgebra'' is a fuzzy model of a theory containing, for any ''n''-ary operation h, the axioms \forall x_1, ..., \forall x_n (S(x_1) \land ..... \land S(x_n) \rightarrow S(h(x_1, ..., x_n)) and, for any constant c, S(c). The first axiom expresses the closure of S with respect to the operation h, and the second expresses the fact that c is an element in S. As an example, assume that the valuation structure is defined in ,1and denote by \odot the operation in ,1used to interpret the conjunction. Then a fuzzy subalgebra of an algebraic structure whose domain is D is defined by a fuzzy subset of D such that, for every d1,...,dn in D, if h is the interpretation of the n-ary operation symbol h, then * s(d_1) \odot... \odot s(d_n) \leq s(\mathbf(d_1,...,d_n)) Moreover, if c is the interpretation of a constant c such that s(c) = 1. A largely studied class of fuzzy subalgebras is the one in which the operation \odot coincides with the minimum. In such a case it is immediate to prove the following proposition. Proposition. A fuzzy subset s of an algebraic structure defines a fuzzy subalgebra if and only if for every λ in ,1 the closed cut of s is a subalgebra.


Fuzzy subgroups and submonoids

The fuzzy subgroups and the fuzzy submonoids are particularly interesting classes of fuzzy subalgebras. In such a case a fuzzy subset ''s'' of a monoid (M,•,u) is a fuzzy submonoid if and only if # s(\mathbf)=1 # s(x) \odot s(y) \leq s(x \cdot y) where u is the
neutral element In mathematics, an identity element, or neutral element, of a binary operation operating on a set is an element of the set that leaves unchanged every element of the set when the operation is applied. This concept is used in algebraic structures su ...
in A. Given a group G, a fuzzy subgroup of G is a fuzzy submonoid s of G such that * s(x) ≤ s(x−1). It is possible to prove that the notion of fuzzy subgroup is strictly related with the notions of fuzzy equivalence. In fact, assume that S is a set, G a group of transformations in S and (G,s) a fuzzy subgroup of G. Then, by setting * e(x,y) = Sup we obtain a fuzzy equivalence. Conversely, let e be a fuzzy equivalence in S and, for every transformation h of S, set * s(h)= Inf. Then s defines a fuzzy sub group of transformation in S. In a similar way we can relate the fuzzy submonoids with the fuzzy orders.


Bibliography

* Klir, G. and Bo Yuan, ''Fuzzy Sets and Fuzzy Logic'' (1995) * Zimmermann H., ''Fuzzy Set Theory and its Applications'' (2001), {{ISBN, 978-0-7923-7435-0. * Chakraborty H. and Das S., ''On fuzzy equivalence 1'', Fuzzy Sets and Systems, 11 (1983), 185-193. * Demirci M., Recasens J., ''Fuzzy groups, fuzzy functions and fuzzy equivalence relations'', Fuzzy Sets and Systems, 144 (2004), 441-458. * Di Nola A., Gerla G., ''Lattice valued algebras'', Stochastica, 11 (1987), 137-150. * Hájek P., ''Metamathematics of fuzzy logic''. Kluwer 1998. * Klir G., UTE H. St.Clair and Bo Yuan ''Fuzzy Set Theory Foundations and Applications'',1997. * Gerla G., Scarpati M., ''Similarities, Fuzzy Groups: a Galois Connection'', J. Math. Anal. Appl., 292 (2004), 33-48. *Mordeson J., Kiran R. Bhutani and Azriel Rosenfeld. ''Fuzzy Group Theory'', Springer Series: Studies in Fuzziness and Soft Computing, Vol. 182, 2005. * Rosenfeld A., ''Fuzzy groups'', J. Math. Anal. Appl., 35 (1971), 512-517. * Zadeh L.A., ''Fuzzy Sets'', ‘’Information and Control’’, 8 (1965) 338353. * Zadeh L.A., ''Similarity relations and fuzzy ordering'', Inform. Sci. 3 (1971) 177–200. Fuzzy logic