Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
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.
Recommended Citation
González-Quesada, Juan Carlos; Pérez, Ignacio Javier; Herrera-Viedma, Enrique; and Cabrerizo, Francisco, "A Study of Different Protocols of Distribution of Information Granularity to Build Consensus in Fuzzy Group Decision-Making" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/da/soft_computing/2
A Study of Different Protocols of Distribution of Information Granularity to Build Consensus in Fuzzy Group Decision-Making
Hilton Hawaiian Village, Honolulu, Hawaii
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.
https://aisel.aisnet.org/hicss-57/da/soft_computing/2