Expertise-based decision makers’ importance weights for solving group decision making problems under fuzzy preference relations

Herowati, Evy (2019) Expertise-based decision makers’ importance weights for solving group decision making problems under fuzzy preference relations. IOP Conference Series: Materials Science and Engineering, 703 (012028). pp. 1-7. ISSN 1757-899X

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Official URL / DOI: https://10.1088/1757-899X/703/1/012028

Abstract

The quality of a decision is influenced by the level of expertise of the Decision Makers (DMs). In Group Decision Making, alternatives’ scores are obtained by integrating the DMs opinions and the importance weights of the DMs greatly affect the resulted value. Expertise level is defined as the ability to differentiate consistently and expressed as the CWS-Index, a ratio between the Discrimination and Inconsistency. The DMs give their evaluations in pairwise comparison of Fuzzy Preference Relations (FPR) and the additivity property of FPR generates the estimators needed to get the CWS-Indexes and the expertise-based ranking of DMs. The weights of the DMs are obtained by using Induced Ordered Weighted Averaging (IOWA) operator and Basic Unit Monotonic Increasing functions and the resulted weights are used to evaluate the available alternatives to get the best one based on Fuzzy Majority and IOWA operators. This paper proposed an expertise-based weight allocation method for DMs and a numerical example is discussed to illustrate this expertise-based model to get the best alternative and it concluded that the higher the DMs’ expertise level, the higher his/her weight, and these weights affect the alternatives’ score and the rank of the alternatives.

Item Type: Article
Additional Information: IOP Conference Series: Materials Science and Engineering, Volume 703, International Conference on Informatics, Technology and Engineering 22–23 August 2019, Bali, Indonesia
Uncontrolled Keywords: Expertise-based, Importance Weights, Fuzzy Preference Relations
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculty of Engineering > Department of Industrial Engineering
Depositing User: Evy Herowati 6108
Date Deposited: 15 Jan 2020 03:06
Last Modified: 29 Jul 2020 08:44
URI: http://repository.ubaya.ac.id/id/eprint/37030

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