Kraft concentrates his efforts within the fields of Computer Science; Information Retrieval; as well as Research in Applying Artificial Intelligence Methods such as Fuzzy Set Theory, Rough Sets, and Genetic Algorithms to Modeling Text Information Retrieval Systems.

The fuzzy set theory is used to represent the linguistic evaluations of decision makers (DMs).

Fuzzy Set Theory and its Applications, Kluwer Academic Publishers, Boston, third edition, 435 p.

In applications of fuzzy set theory, the field of engineering has undoubtedly been a leader.

Fuzzy set theory makes it possible to interpret inexact medical considerations as fuzzy sets, thus creating a method of "translating" intuitive, to a certain extent, reasonings of a physician into formal mathematically grounded conclusions.

Introduction Fuzzy Logic and Generalization With the introduction of Fuzzy Set Theory by Zadeh (1965) and its revolutionary concept that, due to inherent vagueness in defining classes of objects, an entity can be assigned partial or multiple memberships to one or several classes, there has been much discussion in recent years about the prospects of fuzzy logic for various GIS applications (Fisher 1992; Ahlqvist et al.

Therefore, this study intends to apply fuzzy set theory and introduce an alternative approach for assisting real estate developers in assessing their competitiveness through establishing a fuzzy synthetic rating model.

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.