Rank similarity based MADM method selection
Paper
Paper/Presentation Title | Rank similarity based MADM method selection |
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Presentation Type | Paper |
Authors | Chakraborty, Subrata (Author) and Yeh, Chung-Hsing (Author) |
Journal or Proceedings Title | Proceedings of the 2012 International Conference on Statistics in Science, Business, and Engineering |
Number of Pages | 6 |
Year | 2012 |
Place of Publication | United States |
ISBN | 9781467315814 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICSSBE.2012.6396586 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6396586&tag=1 |
Conference/Event | 2012 International Conference on Statistics in Science, Business, and Engineering |
Event Details | 2012 International Conference on Statistics in Science, Business, and Engineering Event Date 10 to end of 12 Sep 2012 Event Location Langkawi, Malaysia |
Abstract | Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most preferred MADM method from a set of suitable and acceptable methods. The most preferred MADM method is the one that produces the most preferred outcome. The most preferred outcome is the one which is closest to all other outcomes. The closeness between the ranking outcomes are measured in terms of the similarity between them. |
Keywords | Spearman rank correlation; multiple attribute decision making; rank similarity based MADM method selection |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Public Notes | © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
Monash University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q31z9/rank-similarity-based-madm-method-selection
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