A Typology Scheme for the Criteria Weighting Methods in MADM

Mohammad Ali Hatefi ()
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Mohammad Ali Hatefi: Petroleum University of Technology, Department of Energy Economics & Management, Tehran, Iran

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 04, 1439-1488

Abstract: The concentration point of this study is Criteria Weighting (CW) solutions which are the methods to determine the weights of the criteria in Multiple Attribute Decision Making (MADM). Although there are various CW methods in the related literature, there is no extensive typology framework or coding approach for the methods. Hence, this paper aims at establishment of a novel comprehensive typology scheme with consistent notations for the CW methods, conducting an extensive review of different CW methods, and identification of relevant classifications. The motivation is to help a fast access to the relevant literature, better capabilities to address suitable CW methods in real-world problems, and better communication among the MADM/CW researchers. The basic feature of the proposed approach is the identified underlying concepts (called rule) of the CW methods. Under the study, several rules were identified and coded. The paper also portrays a complete and up-to-date survey of the published literature on the original CW methods. In addition, to select appropriate methods in real-life situations, a set of brief guidelines are raised up. This helps decision/policy makers to choose the best-fit methods to employ in their real-life challenges.

Keywords: CW; multiple attributes decision making; methods classification; notation and coding (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:22:y:2023:i:04:n:s0219622022500985

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DOI: 10.1142/S0219622022500985

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