435. Goal-Oriented Dynamic Group Decision Making Based on Ordinal Consensus
Invited abstract in session MC-33: Decision Processes, stream Decision Analysis.
Monday, 12:30-14:00Room: Maurice Keyworth 1.31
Authors (first author is the speaker)
| 1. | Yuanyuan Yin
|
| 2. | Jianfeng Cai
|
| Northwestern Polytechnical University |
Abstract
In response to the goal-oriented dynamics of initial decision-maker selection schemes in a hesitant fuzzy linguistic preference environment, this study proposes an optimization-based consensus model. First, a fuzzy C-means clustering method based on ordinal similarity, considering hesitation and fuzziness, is proposed within the hesitant fuzzy linguistic preference environment to form subgroups with shared goal interests. Within these subgroups and trust networks, the decision-maker with the highest support for their preferences is selected as the subgroup leader, and the leader is replaced if their preferences repeatedly deviate from those of the subgroup members. Second, an optimization adjustment mechanism based on maximum ordinal consensus is proposed, which identifies the two decision-makers within the subgroup with the least support and categorizes their preferences into two types of behavior: in-group biased behavior and trust-oriented behavior. Finally, the effectiveness of the proposed model is validated through a case study of a company selecting a supply chain platform. Comparative and sensitivity analyses are also conducted to examine the impact of trust relationships and the cooperation-competition dynamics within and between subgroups on both the final consensus opinion and the speed at which consensus is reached.
Keywords
- Decision Analysis
- Group Decision Making and Negotiation
- Fuzzy Sets and Systems
Status: accepted
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