摘要
在假设属性指标都是梯形模糊数的状态下,针对模糊多属性群体决策问题,对原多维偏好分析线性规划法进行改进,利用模糊理想解法和广义加权距离,定义群一致度和群不一致度,建立了基于梯形模糊数的多属性多维偏好群体决策模型。最后给出一个模型应用及求解计算的实际例子,算例结果证明了模型的合理性和有效性。
Under the circumstance that the values of attribute index are trapezoid fuzzy numbers, the aim of this paper is to extend the linear programming techniques for multidimensional analysis of preference to the fuzzy multiple attribute group decision-mak- ing. According to fuzzy ideal solution and generalized weighted distance, the group consistence and group inconsistence are defined, and the fuzzy multiple attribute decision-making model on the trapezoid fuzzy number is established. In the end, an example illustrates that the model is reasonable and effective.
出处
《燕山大学学报》
CAS
2005年第6期535-539,共5页
Journal of Yanshan University
关键词
梯形模糊数
多维偏好
群决策
广义加权距离
群一致度
trapezoid fuzzy numbers
multidimensional preference
group decision-making
generalized weighted distance
group consistence
