Fuzzy multi-objective decision-making models and approaches

Jie Lu, Guangquan Zhang, Da Ruan

    Research outputpeer-review

    Abstract

    Multi-objective linear programming (MOLP) techniques are widely used to model many organizational decision problems. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in some parameters of an established MOLP model that is also called a fuzzy MOLP (FMOLP) problem. This chapter first reviews the development of fuzzy multi-objective decision-making (FMODM) models and approaches and then proposes an effective way for an optimal solution in the FMOLP problem. By introducing an adjustable satisfactory degree α, a new concept of FMOLP and a solution transformation theorem are given in this chapter. This chapter thus develops an interactive fuzzy goal multi-objective decision-making method, which provides an interactive fashion with decision makers during their solution process and allows decision makers to give their fuzzy goals in any form of membership function. An illustrative example shows the details of the proposed method.

    Original languageEnglish
    Title of host publicationSpringer Optimization and Its Applications
    PublisherSpringer International Publishing
    Pages483-522
    Number of pages40
    DOIs
    StatePublished - 2008

    Publication series

    NameSpringer Optimization and Its Applications
    Volume16
    ISSN (Print)1931-6828
    ISSN (Electronic)1931-6836

    Funding

    This research is partially supported by the Australian Research Council (ARC) under Discovery Grant DP0211701.

    FundersFunder number
    Australian Research CouncilDP0211701

      ASJC Scopus subject areas

      • Control and Optimization

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