• DocumentCode
    2913171
  • Title

    Research on gray decision-making approach for the evaluation of the energy efficiency

  • Author

    Yu Wei ; Zhu Jian-jun ; Wu Yang-yun

  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    774
  • Lastpage
    778
  • Abstract
    There are many factors affecting Unit GDP energy consumption, including industrial structure, living habits, energy consuming structure, physical energy efficiency, energy prices and so on. Aggregation approach for interval gray utility value and gray preference order in the group decision-making is studied. This paper first introduced interval gray utility value and interval gray preference order. The weight model for interval gray utility value is proposed. In order to solve the problem of misleading decision-making, the weight distribution model is given according to the error factor. Interval gray preference order is indicated in the form of interval gray utility value and aggregation for uncertain preference order is studied by the use of weight distribution model for interval gray utility value. Then the derived interval gray weights are ranked. The relation degree between the expert preference and the synthesis is introduced to measure the group consistency degree.
  • Keywords
    decision making; economic indicators; grey systems; statistical distributions; utility theory; energy efficiency; error factor; group consistency degree; group decision making; interval grey preference order; interval grey utility value; unit GDP energy consumption; weight distribution model; Aggregates; Decision making; Distributed decision making; Economic indicators; Energy consumption; Energy efficiency; Environmental economics; Intelligent structures; Intelligent systems; Power generation economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443379
  • Filename
    4443379