Fuzzy set theory and its applications, Kluwer Academic, New York.

The uncertainty in the evaluation judgments has been handled by the

fuzzy set theory.

Methods of utility theory based on qualitative initial measurements include two widely known groups of methods: AHP and

fuzzy set theory methods (Zimmermann 1985, 2000).

To overcome this, the

fuzzy set theory can be successfully used.

2008) Selecting an architecture-engineering team by using

fuzzy set theory, Engineering, Construction and Architectural Management, 15(3), pp.

In

fuzzy set theory, the membership of an element is a single value lying between zero and one, where the degree of non-membership is just automatically equal to one minus the degree of membership.

This paper presents a methodology to incorporate archipelago identification based on

fuzzy set theory into generalization processing.

Lofti Zadeh introduced

fuzzy set theory in 1965 with an aim of mathematically representing uncertainty and vagueness with formalized logical tools for dealing with the imprecision inherent in many real world problems.

Fuzzy set theory is used in order to extend the interpretation function to give semantics to complex concepts, roles and axioms (Klir and Yuan, 1995).

Fuzzy set theory deals with imprecision relating to vagueness.

First however, they assemble a particular model of computational intelligence from neural networks techniques,

fuzzy set theory, and evolutionary computation.

Zadeh first developed the

fuzzy set theory in 1965 while trying to solve fuzzy phenomenon problems that exist in the real world (e.