期刊名称:International Journal of Business and Management
印刷版ISSN:1833-3850
电子版ISSN:1833-8119
出版年度:2008
卷号:3
期号:1
页码:106
DOI:10.5539/ijbm.v3n1P106
出版社:Canadian Center of Science and Education
摘要:Gray target decision making is one method of gray systematic theory for solving multiple attribute decision making problem. The weight definite method of the index in the present researches on gray target decision making is monotonous, it does not accord with the actual conditions; From the point of view of mathematical statistics in addition, the true weight coefficient of every index is a random variable, the weight coefficient that different assignment method draws is only a sample value of the true weight coefficient, and it has some uncertainty. For this reason, a method of determining the linear combination weights based on entropy, using optimization theory and Jayne's maximum entropy principle, is presented to deal with the problem of determining the weights in multiple attribute decision making. The existing grey target decision making model has been got improved and the example demonstrates the validity of this model.