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Evaluation of Ranking Accuracy in Multi-Criteria Decisions
Volume 17, Issue 4 (2006), pp. 601–618
Edmundas Kazimieras Zavadskas   Algimantas Zakarevicius   Jurgita Antucheviciene  

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https://doi.org/10.15388/Informatica.2006.158
Pub. online: 1 January 2006      Type: Research Article     

Received
1 March 2006
Published
1 January 2006

Abstract

The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative significance of alternatives as a function of the criteria values is developed. An algorithm of the Technique for the Order Preference by Similarity to Ideal Solution (TOPSIS) that applies criteria values' transformation through a normalization of vectors and the linear transformation is considered. A computational experiment is presented, to compare the results of a multiple criteria analysis and the ranking accuracy in a particular situation.

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Keywords
decision-making multi-criteria optimisation ranking accuracy TOPSIS vector normalization linear normalization standard deviation confidence interval construction management

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INFORMATICA

  • Online ISSN: 1822-8844
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