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Aggregation and consensus for preference relations based on fuzzy partial orders
journal contribution
posted on 2017-12-01, 00:00 authored by Gleb BeliakovGleb Beliakov, Simon JamesSimon James, Tim WilkinTim WilkinWe 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.
History
Journal
Fuzzy optimization and decision makingVolume
16Issue
4Pagination
409 - 428Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
1568-4539eISSN
1573-2908Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2016, SpringerUsage metrics
Keywords
pairwise preference relationsaggregation functionsKemeny distancefuzzy partial ordergroup decision makinglinear programmingScience & TechnologyTechnologyComputer Science, Artificial IntelligenceOperations Research & Management ScienceComputer ScienceDECISION-MAKINGRECIPROCAL RELATIONSTRANSITIVITYCONSISTENCYArtificial Intelligence and Image Processing
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