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    Consistency based completion approaches of incomplete preference relations in uncertain decision contexts.

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    Author's copy of final accepted paper (194.1Kb)
    Date
    2015
    Author
    Urena, Raquel;
    Chiclana, Francisco;
    Herrera-Viedma, Enrique
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    Abstract
    Uncertainty, hesitation and vagueness are inherent to human beings when articulating opinions and preferences. Therefore in decision making situations it might well be the case that experts are unable to express their opinions in an accurate way. Under these circumstances, various families of preference relations (PRs) have been proposed (linguistic, intuitionistic and interval fuzzy PRs) to allow the experts to manifest some degree of hesitation when enunciating their opinions. An extreme case of uncertainty happens when an expert is unable to differentiate the degree up to which one preference is preferred to another. Henceforth, incomplete preference relations are possible. It is worth to bear in mind that incomplete information does not mean low quality information, on the contrary, in many occasions experts might prefer no to provide information in other to keep consistency. Consequently mechanism to deal with incomplete information in decision making are necessary. This contribution presents the main consistency based completion approaches to estimate incomplete preference values in linguistic, intuitionistic and interval fuzzy PRs.
    Description
    Citation : Urena, R. (2015) Consistency based completion approaches of incomplete preference relations in uncertain decision contexts. Proceedings of 2015 IEEE International Conference on Fuzzy Systems, Istanbul, Turkey.
    URI
    http://hdl.handle.net/2086/11019
    Research Group : Centre for Computational Intelligence
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2973]

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