IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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

Application of Fuzzy Analytic Network Process and Fuzzy TOPSIS to the Undesirable Location Selection Problem
View Sample PDF
Author(s): Semih Önüt (Yildiz Technical University, Turkey), Selin Soner Kara (Yildiz Technical University, Turkey)and Derya Tekin (Yildiz Technical University, Turkey)
Copyright: 2009
Pages: 24
Source title: Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization
Source Author(s)/Editor(s): Hsiao-Fan Wang (National Tsing Hua University, ROC)
DOI: 10.4018/978-1-60566-114-8.ch009

Purchase

View Application of Fuzzy Analytic Network Process and Fuzzy TOPSIS to the Undesirable Location Selection Problem on the publisher's website for pricing and purchasing information.

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.

Related Content

Aditi Nag. © 2026. 48 pages.
Mayur Thakur, Shikha Sharma, Trilochan Kumar. © 2026. 44 pages.
Partha Mukhopadhyay, Prachee Parwanee. © 2026. 36 pages.
Kamaraj Kalaimathy, Chathana Thagavel, Sofiya M. Karunanithi. © 2026. 30 pages.
İlhami Ay, Murat Dal. © 2026. 34 pages.
Vinupandyan Lakshmanan. © 2026. 32 pages.
Muhammad Usman Tariq. © 2026. 28 pages.
Body Bottom