Aggregation and consensus for preference relations based on fuzzy partial orders

Gleb Beliakov (), Simon James () and Tim Wilkin ()
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Gleb Beliakov: Deakin University
Simon James: Deakin University
Tim Wilkin: Deakin University

Fuzzy Optimization and Decision Making, 2017, vol. 16, issue 4, No 2, 409-428

Abstract: Abstract 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.

Keywords: Pairwise preference relations; Aggregation functions; Kemeny distance; Fuzzy partial order; Group decision making; Linear programming (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10700-016-9258-4

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