Multi-attribute Decision-making Model of Grey Target for Information System Evaluation

نویسندگان

  • Sha Fu
  • Guang Sun
  • Yezhi Xiao
چکیده

A kind of multi-attribute grey-target decision model based on positive-negative target center is put forward aimed at the complexity and uncertainty of the actual decision environment. Firstly, the optimal effect vector and the worst effect vector of the grey-target decision are respectively defined as the positive and negative clouts; secondly, the spatial projection distance between the positive and negative clouts shall be comprehensively considered, and the off-target distance is the basis of the vector analysis for space and then a new comprehensive target-eyes distance shall be acquired; then, build the goal programming model for objective function in accordance with comprehensive target-eyes distance, and make solution by that to get the index weight. At last, verify the feasibility and validity of the proposed grey-target decision model by the optional instance analysis of information system.

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تاریخ انتشار 2016