Aggregation and consensus for preference relations based on fuzzy partial orders

作者：Beliakov Gleb; James Simon^*; Wilkin Tim

来源：Fuzzy Optimization and Decision Making, 2017, 16(4): 409-428.

DOI：10.1007/s10700-016-9258-4

• Pairwise preference relations
• Aggregation functions
• Kemeny distance
• Fuzzy partial order
• Group decision making
• Linear programming

We propose a framework for eliciting and aggregating pairwise preference relations based on the assumption of an underlying fuzzy partial order. We also propose some linear programming optimization methods for ensuring consistency either as part of the aggregation phase or as a pre- or post-processing task. We contend that this framework of pairwise-preference relations, based on the Kemeny distance, can be less sensitive to extreme or biased opinions and is also less complex to elicit from experts. We provide some examples and outline their relevant properties and associated concepts.

• 出版日期2017-12
• 单位迪肯大学