A simulation based comparative study of normalization procedures in multiattribute decision making

Chakraborty, Subrata and Yeh, Chung-Hsing (2007) A simulation based comparative study of normalization procedures in multiattribute decision making. In: 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, 16-19 Feb 2007, Corfu Island, Greece.

Abstract

Normalization procedures are required in multiattribute decision making (MADM) to transform performance ratings with different data measurement units in a decision matrix into a compatible unit. MADM methods generally use one particular normalization procedure without considering the suitability of other available procedures. This study compares four commonly known normalization procedures in terms of their ranking consistency and overall preference value consistency when used with the most widely used simple additive weight method. To achieve this, new performance measure indices are introduced and new simulation settings are devised for dealing with various measurement settings. A wide range of MADM problems with various measurement scales are generated by simulation for the comparison study. The experiment result shows that vector normalization and linear scale transformation (the max method) outperforms other normalization procedures when used with SAW.


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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 - Department of Management and Organisational Behaviour
Date Deposited: 24 May 2016 06:01
Last Modified: 25 May 2016 02:51
Uncontrolled Keywords: MADM; SAW; normalization; decision making; decision support systems; simulation study; method comparison; decision consistency
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
URI: http://eprints.usq.edu.au/id/eprint/27912

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