A comparison between two types of Fuzzy TOPSIS method
Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to provide helpful outputs in various application area...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | https://eprints.nottingham.ac.uk/34645/ |
| _version_ | 1848794902124560384 |
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| author | Madi, Elissa Garibaldi, Jonathan M. Wagner, Christian |
| author_facet | Madi, Elissa Garibaldi, Jonathan M. Wagner, Christian |
| author_sort | Madi, Elissa |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to provide helpful outputs in various application areas. In recent years, a variety of extensions, including fuzzy extensions of TOPSIS have been proposed. One challenge that has arisen is that it is not straightforward to differentiate between the multiple variants of TOPSIS existing today. Thus, in this paper, a comparison between the classical Fuzzy TOPSIS method proposed by Chen in 2000 and the recently Fuzzy TOPSIS proposed extension by Yuen in 2014 is made. The purpose of this comparative study is to show the difference between both methods and to provide context for their respective strengths and limitations both in complexity of application, and expressiveness of results. A detailed synthetic numeric example and comparison of both methods are provided. |
| first_indexed | 2025-11-14T19:23:34Z |
| format | Conference or Workshop Item |
| id | nottingham-34645 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:23:34Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-346452020-05-04T17:19:11Z https://eprints.nottingham.ac.uk/34645/ A comparison between two types of Fuzzy TOPSIS method Madi, Elissa Garibaldi, Jonathan M. Wagner, Christian Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to provide helpful outputs in various application areas. In recent years, a variety of extensions, including fuzzy extensions of TOPSIS have been proposed. One challenge that has arisen is that it is not straightforward to differentiate between the multiple variants of TOPSIS existing today. Thus, in this paper, a comparison between the classical Fuzzy TOPSIS method proposed by Chen in 2000 and the recently Fuzzy TOPSIS proposed extension by Yuen in 2014 is made. The purpose of this comparative study is to show the difference between both methods and to provide context for their respective strengths and limitations both in complexity of application, and expressiveness of results. A detailed synthetic numeric example and comparison of both methods are provided. 2015-10-19 Conference or Workshop Item PeerReviewed Madi, Elissa, Garibaldi, Jonathan M. and Wagner, Christian (2015) A comparison between two types of Fuzzy TOPSIS method. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9-12 Oct 2015, Kowloon, Hong Kong. Fuzzy set theory Multi criteria decision making TOPSIS http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=7379195 |
| spellingShingle | Fuzzy set theory Multi criteria decision making TOPSIS Madi, Elissa Garibaldi, Jonathan M. Wagner, Christian A comparison between two types of Fuzzy TOPSIS method |
| title | A comparison between two types of Fuzzy TOPSIS method |
| title_full | A comparison between two types of Fuzzy TOPSIS method |
| title_fullStr | A comparison between two types of Fuzzy TOPSIS method |
| title_full_unstemmed | A comparison between two types of Fuzzy TOPSIS method |
| title_short | A comparison between two types of Fuzzy TOPSIS method |
| title_sort | comparison between two types of fuzzy topsis method |
| topic | Fuzzy set theory Multi criteria decision making TOPSIS |
| url | https://eprints.nottingham.ac.uk/34645/ https://eprints.nottingham.ac.uk/34645/ |