• DocumentCode
    389594
  • Title

    Sustainable development: Decision making using fuzzy logic and sensitivity analysis

  • Author

    Phillis, Yannis A. ; Kouikoglou, Vassilis S. ; Andriantiatsaholiniaina, Luc A.

  • Author_Institution
    Dept. of Production Eng. & Manage., Tech. Univ. Crete, Chania, Greece
  • Volume
    5
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Abstract
    Sustainable development is a process associated with social, economic, and environmental decisions. First one has to define and assess sustainable development and then devise decision-making mechanisms. We have a model called SAFE (Sustainability Assessment by Fuzzy Evaluation) which uses data about environmental integrity, economic efficiency and social welfare, and then processes them via fuzzy logic to derive measures of human, ecological, and overall sustainability. A sensitivity analysis identifies the factors affecting sustainability. About eighty indicators are thus tested and classified according to sensitivity as promoting, impeding, or having no effect on sustainability. The method could become a useful tool to politicians and decision makers as they strive towards sustainability. The model is applied to the Greek and American economies.
  • Keywords
    decision making; fuzzy logic; sensitivity analysis; social aspects of automation; sustainable development; American economies; Greek economies; decision making; economic decisions; economic efficiency; environmental decisions; environmental integrity; fuzzy logic; sensitivity analysis; social decisions; social welfare; sustainability assessment by fuzzy evaluation; sustainable development; Anthropometry; Biological system modeling; Decision making; Economic indicators; Environmental economics; Fuzzy logic; Humans; Sensitivity analysis; Sustainable development; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1176362
  • Filename
    1176362