Fuzzy Set Theory Essay
CHAPTER 1
INTRODUCTION
Chapter 1 discusses the research background of this thesis. The aim of this chapter is to give a clear explanation and understanding to the author before starting develops the methods. The introduction of fuzzy sets is described, especially interval type-2 fuzzy sets, known as the main point of this research. Thereafter, it is followed by the review of fuzzy sets in Multi Criteria Decision Making (MCDM) problems and Simple Additive Weighting (SAW) method. In fact, SAW is one of the techniques in solving MCDM problems. Apart from that, the problem statements, objectives of the research, scope and limitations, significance of the research, conceptual framework, related research of SAW and fuzzy SAW and organization of the research are needed to complete this thesis. Specifically, the mentioned points are elaborated in this chapter.
1.1 Research Background
Fuzzy set theory (FST) is an extension of classical set theory. It is developed by Zadeh on 1965. He proposed that the key elements in human thinking are not numbers but labels as fuzzy sets. Fuzzy set is a class of objects with a continuum of grades of
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