Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/49436
Title: | TOPSIS and Modified TOPSIS: A comparative analysis | Contributor(s): | Chakraborty, Subrata (author)![]() |
Publication Date: | 2021-12-31 | Early Online Version: | 2021-12-24 | Open Access: | Yes | DOI: | 10.1016/j.dajour.2021.100021![]() |
Handle Link: | https://hdl.handle.net/1959.11/49436 | Abstract: | Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of suitability. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and its dominant variant the Modified TOPSIS methods are two very similar methods applicable to the same type of MADM problems. This study provides extensive simulation-based comparisons and mathematical analysis of these two popular methods in order to clarify the confusion regarding their selection for solving MADM problems. | Publication Type: | Journal Article | Source of Publication: | Decision Analytics Journal, v.2, p. 1-7 | Publisher: | Elsevier BV | Place of Publication: | Netherlands | ISSN: | 2772-6622 | Fields of Research (FoR) 2020: | 460199 Applied computing not elsewhere classified 460902 Decision support and group support systems 460209 Planning and decision making |
Socio-Economic Objective (SEO) 2020: | 280115 Expanding knowledge in the information and computing sciences | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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