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Fuzzy set approach to the utility, preference relations, and aggregation operators

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  • Mesiar, R.

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  • Mesiar, R., 2007. "Fuzzy set approach to the utility, preference relations, and aggregation operators," European Journal of Operational Research, Elsevier, vol. 176(1), pages 414-422, January.
    • Handle: RePEc:eee:ejores:v:176:y:2007:i:1:p:414-422
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    References listed on IDEAS

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    1. Dubois, Didier & Fortemps, Philippe & Pirlot, Marc & Prade, Henri, 2001. "Leximin optimality and fuzzy set-theoretic operations," European Journal of Operational Research, Elsevier, vol. 130(1), pages 20-28, April.
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    Cited by:

    1. Ricci, Roberto Ghiselli, 2015. "Penalty functions based upon a general class of restricted dissimilarity functions," European Journal of Operational Research, Elsevier, vol. 241(3), pages 806-814.
    2. Bustince, H. & Jurio, A. & Pradera, A. & Mesiar, R. & Beliakov, G., 2013. "Generalization of the weighted voting method using penalty functions constructed via faithful restricted dissimilarity functions," European Journal of Operational Research, Elsevier, vol. 225(3), pages 472-478.
    3. Gao, Jianwei & Li, Ming & Liu, Huihui, 2015. "Generalized ordered weighted utility averaging-hyperbolic absolute risk aversion operators and their applications to group decision-making," European Journal of Operational Research, Elsevier, vol. 243(1), pages 258-270.
    4. Jiménez, Antonio & Mateos, Alfonso & Sabio, Pilar, 2013. "Dominance intensity measure within fuzzy weight oriented MAUT: An application," Omega, Elsevier, vol. 41(2), pages 397-405.
    5. Gagolewski, Marek, 2015. "Spread measures and their relation to aggregation functions," European Journal of Operational Research, Elsevier, vol. 241(2), pages 469-477.

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