A Study of Different Protocols of Distribution of Information Granularity to Build Consensus in Fuzzy Group Decision-Making
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2024-01-03
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1754
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Abstract
Information granularity has been regarded as a crucial design asset whose careful application becomes essential to create more realistic models. In processes of group decision-making, by admitting an average information granularity level, models can capture the diversity of knowledge sources, which allow them to be more reflective of reality. Concretely, a distribution of information granularity along with an optimization of the distribution process have been applied to build consensus while limiting the information loss. Given that there exist different protocols of distribution of information granularity, viz. a symmetric and uniform distribution, an asymmetric but uniform distribution, a symmetric but non-uniform distribution, and an asymmetric and non-uniform distribution, this study aims to discuss how we can take advantage of them to build consensus in group decision-making with fuzzy preference relations. Some numerical experiments are also conducted to analyze the performance and effectiveness of these protocols to build consensus.
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Soft Computing: Theory Innovations and Problem-Solving Benefits, consensus, fuzzy preference relations, group decision-making, information granularity
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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