A simulation based comparative study of normalization procedures in multiattribute decision making
Paper
Paper/Presentation Title | A simulation based comparative study of normalization procedures in multiattribute decision making |
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Presentation Type | Paper |
Authors | Chakraborty, Subrata (Author) and Yeh, Chung-Hsing (Author) |
Journal or Proceedings Title | Proceedings of the 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases |
Journal Citation | 6, pp. 102-109 |
Number of Pages | 8 |
Year | 2007 |
Place of Publication | Greece |
Web Address (URL) of Paper | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.134.8891&rep=rep1&type=pdf |
Conference/Event | 6th 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. |
Keywords | MADM; SAW; normalization; decision making; decision support systems; simulation study; method comparison; decision consistency |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Monash University |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q31yy/a-simulation-based-comparative-study-of-normalization-procedures-in-multiattribute-decision-making
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