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A1 ∀x1..., ∀xn(S(x1)∧.....∧ S(xn) → S(h(x1,...,xn))

and, for any constant c, the axiom

A2 S(c).

A1 expresses the closure of S with respect to the operation h, A2 expresses the fact that c is an element in S. As an example, assume that the valuation structure is defined in and denote by \odot the operation in [0,1 used to interpret the conjunction. Then it is easy to see that a fuzzy subalgebra of an algebraic structure whose domain is D is defined by a fuzzy subset s : D → [0,1] of D such that, for every d1,...,dn in D, if h is the interpretation of the n-ary operation symbol h, then

i) s(d1)\odot... \odots(dn)≤ s(h(d1,...,dn))

Moreover, if c is the interpretation of a constant c

ii) 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 {Link without Title} , the closed cut {x \in D : s(x)≥ λ} of s is a subalgebra.

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
1) s(u) =1
2) s(x)\odots(y) ≤ s(x•y)
where u is the neutral element in A. Given a group G, a ''fuzzy subgroup'' of G is a fuzzy submonoid s of G such that
3) 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{s(h) : h is an element in G such that h(x) = y}

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{e(x,h(x)): x\inS}.

Then s defines a fuzzy subgroup 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) ISBN 978-0-13-101171-7

  • 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.