Book Chapter

·2010

Application of Fuzzy Analytic Network Process and Fuzzy TOPSIS to the Undesirable Location Selection Problem

Semih Önüt YTU , Selin Soner Kara YTU , Derya Tekin YTU

IGI Global eBooks

Abstract

In this chapter, a combined fuzzy multiple criteria decision making (MCDM) methodology for supporting the undesirable location selection process is presented. The undesirable location selection process is formulated by using the fuzzy analytic network process (FANP), one of MCDM methods, which is used to evaluate the most suitable alternatives of undesirable facility locations. Then, the fuzzy TOPSIS (technique for order performance by similarity to ideal solution) is used to rank competing locations in terms of overall performances. Since different alternatives and various quantitative, qualitative, tangible, and intangible criteria should be considered in the selection process, fuzzy MCDM methods have been found to be a useful approach to solve this kind of location selection problems including vagueness and imprecision in the human judgments.

Keywords

Vagueness Multiple-criteria decision analysis Selection (genetic algorithm) Fuzzy logic TOPSIS Rank (graph theory) Process (computing) Computer science Analytic network process Ideal solution Mathematical optimization Data mining Operations research Mathematics Artificial intelligence Analytic hierarchy process

Subject Areas

Multi-Criteria Decision Making ·Management Science and Operations Research ·Social Sciences
Facility Location and Emergency Management ·Organizational Behavior and Human Resource Management ·Social Sciences
Quality Function Deployment in Product Design ·Management of Technology and Innovation ·Social Sciences

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