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Comparison of Aggregation Operators in the Group Decision-Making Process: A Real Case Study of Location Selection Problem

Author

Listed:
  • Goran Petrović

    (Faculty of Mechanical Engineering in Niš, University of Niš, 18000 Niš, Serbia)

  • Jelena Mihajlović

    (Faculty of Mechanical Engineering in Niš, University of Niš, 18000 Niš, Serbia)

  • Danijel Marković

    (Faculty of Mechanical Engineering in Niš, University of Niš, 18000 Niš, Serbia)

  • Sarfaraz Hashemkhani Zolfani

    (School of Engineering, Universidad Catolica del Norte, Larrondo 1281, Coquimbo 1780000, Chile)

  • Miloš Madić

    (Faculty of Mechanical Engineering in Niš, University of Niš, 18000 Niš, Serbia)

Abstract

Aggregation methods in group decision-making refer to techniques used to combine the individual preferences, opinions, or judgments of group members into a collective decision. Each aggregation method has its advantages and disadvantages, and the best method to use depends on the specific situation and the goals of the decision-making process. In certain cases, final rankings of alternatives in the decision-making process may depend on the way of combining different attitudes. The focus of this paper is the application and comparative analysis of the aggregation operators, specifically, arithmetic mean (AM), geometric mean (GM), and Dombi Bonferroni mean (DBM), to the process of criteria weights determination in a fuzzy environment. The criteria weights are determined using Fuzzy Multi-Criteria Decision-Making (F-MCDM) methods, such as Fuzzy Analytic Hierarchy Process (F-AHP), Fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA), and Fuzzy Full Consistency Method (F-FUCOM), while the final alternative ranking is obtained by Fuzzy Weighted Aggregated Sum Product Assessment (F-WASPAS). A comparison of aggregation operators is done for the real case of location selection problem for a used motor oil transfer station in the regional center of Southern and Eastern Serbia, the city of Niš. The results obtained in this study showed that the views of different experts and application of a certain aggregation approach may have a significant impact on the values of criteria weight coefficients and further on the final ranking of alternatives. This paper is expected to stimulate future research into the impact of aggregation methods on final rankings in the decision-making process, especially in the field of waste management.

Suggested Citation

  • Goran Petrović & Jelena Mihajlović & Danijel Marković & Sarfaraz Hashemkhani Zolfani & Miloš Madić, 2023. "Comparison of Aggregation Operators in the Group Decision-Making Process: A Real Case Study of Location Selection Problem," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8229-:d:1150161
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    References listed on IDEAS

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    2. Benedictus Rahardjo & Fu-Kwun Wang & Shih-Che Lo & Jia-Hong Chou, 2023. "A Hybrid Multi-Criteria Decision-Making Model Combining DANP with VIKOR for Sustainable Supplier Selection in Electronics Industry," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
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    4. Ibrahim M. Hezam & Naga Rama Devi Vedala & Bathina Rajesh Kumar & Arunodaya Raj Mishra & Fausto Cavallaro, 2023. "Assessment of Biofuel Industry Sustainability Factors Based on the Intuitionistic Fuzzy Symmetry Point of Criterion and Rank-Sum-Based MAIRCA Method," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    5. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
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