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Developments in fuzzy multicriteria analysis

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  • He-pu Deng

    (RMIT University)

Abstract

Selecting or ranking available alternatives (observations/objects) with respect to multiple, often conflicting criteria in a fuzzy environment usually referred to as fuzzy multicriteria analysis is a problem of a major interest in information and engineering. Methodologies for addressing this problem have been developed from a variety of research disciplines, including statistics, econometrics, artificial intelligent, and operations research. This paper presents an overview of the developments in fuzzy multicriteria analysis. It discusses the complexity of fuzzy multicriteria analysis and analyses the existing approaches from four different perspectives for facilitating a better understanding of the recent development in this domain. Finally, the paper elaborates on the future research areas in fuzzy multicriteria analysis.

Suggested Citation

  • He-pu Deng, 2009. "Developments in fuzzy multicriteria analysis," Fuzzy Information and Engineering, Springer, vol. 1(1), pages 103-109, March.
    • Handle: RePEc:spr:fuzinf:v:1:y:2009:i:1:d:10.1007_s12543-009-0008-y
    DOI: 10.1007/s12543-009-0008-y
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Zopounidis, Constantin & Doumpos, Michael, 2002. "Multicriteria classification and sorting methods: A literature review," European Journal of Operational Research, Elsevier, vol. 138(2), pages 229-246, April.
    3. Beuthe, Michel & Scannella, Giuseppe, 2001. "Comparative analysis of UTA multicriteria methods," European Journal of Operational Research, Elsevier, vol. 130(2), pages 246-262, April.
    4. C-H Yeh & H Deng & H Pan, 1999. "Multi-criteria analysis for dredger dispatching under uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(1), pages 35-43, January.
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    Cited by:

    1. Lihui Liu & Hepu Deng, 2020. "A Fuzzy Approach for Ranking Discrete Multi-Attribute Alternatives under Uncertainty," Mathematics, MDPI, vol. 8(6), pages 1-12, June.

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