A comparative analysis of multi-criteria decision-making methods

In this work, we empirically compare the rankings produced by several multi-criteria decision-making methods. We analyzed multi-MOORA, TOPSIS and three different settings for VIKOR. Using decision matrices with different number of alternatives and criteria, we compared the rankings produced using th...

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Bibliographic Details
Published inProgress in artificial intelligence Vol. 5; no. 4; pp. 315 - 322
Main Authors Ceballos, Blanca, Lamata, María Teresa, Pelta, David A.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2016
Springer Nature B.V
Subjects
Artificial Intelligence
Computational Intelligence
Computer Imaging
Computer Science
Control
Correlation coefficients
Data Mining and Knowledge Discovery
Decision making
Mechatronics
Multiple criterion
Natural Language Processing (NLP)
Pattern Recognition and Graphics
Regular Paper
Robotics
Vision
Multi-MOORA
Rankings comparison
VIKOR
TOPSIS
Online AccessGet full text
ISSN2192-6352
2192-6360
DOI10.1007/s13748-016-0093-1

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Summary:In this work, we empirically compare the rankings produced by several multi-criteria decision-making methods. We analyzed multi-MOORA, TOPSIS and three different settings for VIKOR. Using decision matrices with different number of alternatives and criteria, we compared the rankings produced using the Spearman’s correlation coefficient index. Our results showed that VIKOR could fail to obtain a ranking due to the failure of certain calculations. The rankings produced by TOPSIS and multi-MOORA were very similar, while the rankings produced by the different VIKOR variants showed a great variability.
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ISSN:2192-6352
2192-6360
DOI:10.1007/s13748-016-0093-1