A new data-driven and knowledge-driven multi-criteria decision-making method

R. Tavakkoli-Moghaddam | F. Jolai | Seyed Meysam Mousavi | Y. Dorfeshan

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=159245
Date :  2021/08/09
Publish in :    Journal of Artificial Intelligence & Data Mining=Journal of AI and Data Mining

Link :  http://jad.shahroodut.ac.ir/article_2243.html
Keywords :Data-driven and Knowledge-Driven MCDM Methods, DEMATEL, ELECTRE, VIKOR Methods

Abstract :

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Multi-criteria decision-making (MCDM) methods have been received considerable attention for solving problems with a set of alternatives and conflict criteria in the last decade. Previously the MCDM methods have primarily relied on the judgment and knowledge of the experts for making decisions. This paper introduces a new data- and knowledge-driven MCDM method in order to reduce the experts’ assessment dependence. The weight of the criteria is specified using the extended data-driven DEMATEL method. Then, the ranking of alternatives is determined through the knowledge-driven ELECTRE and VIKOR methods. All the proposed methods for weighting and rankings are developed under grey numbers for coping with the uncertainty. Finally, the practicality and applicability of the proposed method are proved by solving an illustrative example.