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

Paper

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

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

Presentation TypePaper
AuthorsChakraborty, Subrata (Author) and Yeh, Chung-Hsing (Author)
Journal or Proceedings TitleProceedings of the 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Journal Citation6, pp. 102-109
Number of Pages8
Year2007
Place of PublicationGreece
Web Address (URL) of Paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.134.8891&rep=rep1&type=pdf
Conference/Event6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Event Details
6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Event Date
16 to end of 19 Feb 2007
Event Location
Corfu Island, Greece
Event Details
International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
AIKED
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.

KeywordsMADM; SAW; normalization; decision making; decision support systems; simulation study; method comparison; decision consistency
ANZSRC Field of Research 2020460902. Decision support and group support systems
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Byline AffiliationsMonash University
Institution of OriginUniversity of Southern Queensland
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