Rank similarity based MADM method selection

Chakraborty, Subrata and Yeh, Chung-Hsing (2012) Rank similarity based MADM method selection. In: 2012 International Conference on Statistics in Science, Business, and Engineering, 10-12 Sept 2012, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Historic - Faculty of Business and Law - School of Management and Marketing
Date Deposited: 24 May 2016 06:00
Last Modified: 15 Aug 2017 00:51
Uncontrolled Keywords: Spearman rank correlation; multiple attribute decision making; rank similarity based MADM method selection
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/ICSSBE.2012.6396586
URI: http://eprints.usq.edu.au/id/eprint/27918

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