The prametric-based GDM selection procedure under linguistic assessments

Fujun Hou*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Citations (Scopus)

    Abstract

    The prametric-based procedure is a group decision making (GDM) selection process minimizing a consensus gap indicator, which is not a metric but a prametric. The prametric is an 'almost metric' which does not necessarily satisfy the triangle inequality but able to describe the consensus intransitivity in GDM. This paper considers the procedure under a linguistic situation, where the individuals preferences are provided as linguistic preference relations. The procedure contains two main stages. The first stage looks for the individual's ties-permitted ordinal rankings from the individual's opinions. In order to do this, we introduce an acceptable consistency criterion for linguistic preference relations and show some related properties. If the linguistic preference relation is acceptable, we then obtain the ties-permitted ordinal ranking directly. Otherwise, the ties-permitted ordinal ranking will be deduced by minimizing a consensus gap. The second stage looks for the final solution sets of alternatives by minimizing the gap between a potential solution and the rankings obtained in the first stage. Some illustrative examples are included.

    Original languageEnglish
    Title of host publicationFUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
    EditorsAdnan Yazici, Nikhil R. Pal, Hisao Ishibuchi, Bulent Tutmez, Chin-Teng Lin, Joao M. C. Sousa, Uzay Kaymak, Trevor Martin
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467374286
    DOIs
    Publication statusPublished - 25 Nov 2015
    EventIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 - Istanbul, Turkey
    Duration: 2 Aug 20155 Aug 2015

    Publication series

    NameIEEE International Conference on Fuzzy Systems
    Volume2015-November
    ISSN (Print)1098-7584

    Conference

    ConferenceIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
    Country/TerritoryTurkey
    CityIstanbul
    Period2/08/155/08/15

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