A goal programming model for solving the incomplete stochastic multi-attribute decision making
This paper proposes a novel method for the stochastic multiattribute decision making problems, in which the attribute weights are partial known. The deviation of attribution values and decision maker’s subjective information is combined to obtain the weights of attribution by a goal programming model. Furthermore, the expected utility and decisionmaker’s attitudes toward risk are considered to determine the ranking order of all alternatives. Finally, a numerical example is used to show the effectiveness and applicability of the developed method.
the stochastic multi-attribute decision making problems deviation goal programming weight
Wen-tao Xiong Sheng-ping Yu
School of Mathematics and StatisticsXiaogan UniversityXiaogan, China School of Mathematics and Statistics Xiaogan University Xiaogan, China
国际会议
广州
英文
1-4
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）