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Tang, M. and Liao, H. (2021) From Conventional Group Decision Making to Large-Scale Group Decision Making: What Are the Challenges and How to Meet Them in Big Data Era? A State-of-the-Art Survey. Omega, 100, Article ID: 102141.
https://doi.org/10.1016/j.omega.2019.102141

has been cited by the following article:

• TITLE: Extension of Paraconsistent Many-Valued Similarity Method to Group Decision

  AUTHORS: Abdulai Inusah

  KEYWORDS: Multiple Criteria Evaluation, Group Decision-Making, Paraconsistent, Borda Rule, Energy Sources, Global Strength, Global Weakness, Aggregated Evidence Couples

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.3, March 29, 2024

  ABSTRACT: The Paraconsistent Many-Valued Similarity (PMVS) method for multi-attribute decision making will be incomplete as a decision model if it is not extended to the realm of group decision-making. Therefore, in this article, our primary objective is to show how the paraconsistent many-valued similarity method can be used to solve group decision-making problems involving choice making or ranking of a finite set of decision alternatives. Moreover, since weights are very important parameters in multi-attribute decision-making, we have introduced the Borda rule to calculate the weights of experts and that of every criterion under consideration. To demonstrate how the proposed method works, a numerical example on energy sources of an economy from the points of view of a group of experts is investigated. Further, we compare the results of this new approach with that of fuzzy TOPSIS group decision-making method to illustrate the robustness and effectiveness of the former.