An argument-dependent approach to determining OWA operator weights based on the rule of maximum entropy

作者：Wu Jian^*; Liang Chang yong; Huang Yong qing

来源：International Journal of Intelligent Systems, 2007, 22(2): 209-221.

DOI：10.1002/int.20201

The methods for determining OWA operator weights have aroused wide attention. We first review the main existing methods for determining OWA operator weights. We next introduce the principle of maximum entropy for setting up probability distributions on the basis of partial knowledge and prove that Xu's normal distribution-based method obeys the principle of maximum entropy. Finally, we propose an argument-dependent approach based on normal distribution, which assigns very low weights to these "false" or "biased" opinions and can relieve the influence of the unfair arguments. A numerical example is provided to illustrate the application of the proposed approach.

• 出版日期2007-2
• 单位中国人民解放军信息工程大学; 江苏师范大学; 合肥工业大学