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Chinese Journal of Management Science ›› 2014, Vol. 22 ›› Issue (4): 105-111.

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Generalized Precedence Ordering Method with Ranking Preference for Time Series-based Multi-attribute Decision Making

ZHANG Xiao-zhi, ZHU Chuan-xi, ZHU Li   

  1. Department of Management Science and Engineering, Shool of Science, Nanchang University, Nanchang 330031, China
  • Received:2012-03-25 Revised:2013-02-27 Online:2014-04-20 Published:2014-04-23

Abstract: It is necessary to consider the decision information in more time series for many complex multiple attribute decision making problems in practice. According to this time series-based multi-attribute decision making problem, generalized precedence ordering number is defined on the basis of precedence ordering method. Meanwhile, a new method based on ideal time weight is given to determine the time weight in the time series-based multi-attribute decision making. Then the generalized precedence ordering method with ranking preference of time series-based multi-attribute decision making is proposed. Finally, by using the data in the literature, an example is given to assess the comprehensive benefits of four copper company in one group, and the result shows the feasibility and effectiveness of the proposed method. This paper provides a new way to solve the time series-based multi-attribute decision making problem.

Key words: times eries-based multi-attribute decision making, generalized precedence ordering method with ranking preference, generalized precedence ordering number, ideal time weight

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