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Multiple schemes selection based on dynamic weight SIR under uncertainty

SANG Hui-yun, XIE Xin-lian, LIU Cui-lian   

  1. Integrated Transport Institute, Dalian Maritime University, Dalian 116026, China
  • Online:2016-04-25 Published:2010-01-03

Abstract:

For the multiple schemes selection issue with imprecise, uncertainty and uncompleteness, with a view to the effect of short-board attributes in the decision making, therefore a novel dynamic-weight superiority and inferiority ranking under uncertainty(DWUSIR) approach is developed by using the concept of degrees of belief and the dynamic-weight theory. The linguistics terms with degrees of belief are introduced to present the incompletemess, uncertain data as well as the insufficient expertise. Based on the dynamic weight theory, the dynamic weight model is constrcted by the state variable weight function. The variable weights are determined by preset weights and state values of the attributes. A case study is used to illustrate the validity and the feasibility of the novel framework.

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