An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS

Madi, Elissa, Garibaldi, Jonathan M. and Wagner, Christian (2016) An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24-29 Jul 2016, Vancouver, Canada.

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Decision making is an important process for organizations. Common practice involves evaluation of prioritized alternatives based on a given set of criteria. These criteria conflict with each other and commonly no solution can satisfy all criteria simultaneously. This problem is known as Multi Criteria Decision Making (MCDM) or Multi Criteria Decision Analysis (MCDA) problem. One of the well-known techniques in MCDM is the ‘Technique for Order Preference by Similarity to Ideal Solution’ (TOPSIS) which was introduced by Hwang and Yoon in 1981 [1]. However, this technique uses crisp information which is impractical in many real world situations because decision makers usually express opinions in natural language such as Poor and Good. Information in the form of natural language, i.e. words, in turn is characterized by fuzziness and uncertainty (i.e. ‘what is the meaning of poor’). This uncertainty can be a challenge for decision makers. Zadeh [2] introduced the concept of fuzzy sets, which enables systematic reasoning with imprecise and fuzzy information by using fuzzy sets to represent linguistic terms numerically to then handle uncertain human judgement.

Item Type: Conference or Workshop Item (Paper)
Keywords: FTOPSIS, fuzzy TOPSIS, multicriteria decision making, Technique for Order Preference by Similarity to Ideal Solution, fuzzy sets
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Madi, Elissa
Date Deposited: 03 Aug 2017 09:02
Last Modified: 04 May 2020 17:59

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