Research on Improved Multiple Attribute Variable Weight Decision Making Based on Optimistic Coefficient Method

Sun Peng, Chen Shun-ping, Zhang Jun, Zhi Yongfeng
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引用次数: 1

Abstract

The method of updating weights using the fixed weight vector in the multi-attribute variable weight decision cannot effectively describe the weights’ variation when the state vector is continuously changing. To solve this problem, an iterative weight updating method is proposed. Based on the existing optimistic coefficient method, the influence of highorder terms is discussed, updating weights with the fixed weight vector and updating weights with iteration.
基于乐观系数法的改进多属性变权决策研究
在多属性变权决策中,使用固定权向量更新权值的方法不能有效地描述状态向量连续变化时权值的变化。为了解决这一问题,提出了一种迭代权值更新方法。在现有的乐观系数法的基础上,讨论了高阶项的影响,用固定权向量更新权值,用迭代更新权值。
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