A simulation comparison of normalization procedures for TOPSIS

Paper

Chakraborty, Subrata and Yeh, Chung-Hsing. 2009. "A simulation comparison of normalization procedures for TOPSIS." 2009 International Conference on Computers & Industrial Engineering. Troyes, France 06 - 09 Jul 2009 United States. https://doi.org/10.1109/ICCIE.2009.5223811
Paper/Presentation Title

A simulation comparison of normalization procedures for TOPSIS

Presentation TypePaper
AuthorsChakraborty, Subrata (Author) and Yeh, Chung-Hsing (Author)
Journal or Proceedings TitleProceedings of the 2009 International Conference on Computers and Industrial Engineering
ERA Conference ID60420
Number of Pages6
Year2009
Place of PublicationUnited States
ISBN9781424441358
9781424441365
Digital Object Identifier (DOI)https://doi.org/10.1109/ICCIE.2009.5223811
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5223811&tag=1
Conference/Event2009 International Conference on Computers & Industrial Engineering
International Conference on Computers and Industrial Engineering (CIE)
Event Details
2009 International Conference on Computers & Industrial Engineering
Event Date
06 to end of 09 Jul 2009
Event Location
Troyes, France
Event Details
International Conference on Computers and Industrial Engineering (CIE)
CIE
Abstract

Multiattribute decision making (MADM) uses a normalization procedure 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 justifying its suitability. The technique for order preference by similarity to ideal solution (TOPSIS) is one of the most popular and widely applied MADM methods. This study compares four commonly known normalization procedures in terms of their ranking consistency and weight sensitivity when used with TOPSIS to solve the general MADM problem with various decision settings. The comparison study is validated using two performance measures: ranking consistency and weight sensitivity. A large number of MADM problems with varying attributes and alternatives are generated using a new simulation technique. The study results justify the use of the vector normalization procedure for TOPSIS and provide suggestive insights for using other normalization procedures in certain decision settings.

KeywordsMADM; normalization ranking consistency; TOPSIS; weight sensitivity
ANZSRC Field of Research 2020460902. Decision support and group support systems
Public Notes

© 2009 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 AffiliationsMonash University
Institution of OriginUniversity of Southern Queensland
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