会议专题

Prioritized Multi-Criteria Decision Making Based on T-norms and OWA Operator

In this paper, we concerned ourselves with multicriteria decision making (MCDM) problems with multiple priorities. We presented a prioritized ordered weighted averaging (OWA) aggregation operator based on triangular norms (t-norms) and OWA operator. In particular, we showed that roughly speaking, any t-norms can be used to induce a priority weight for each priority level. To preserve the slight change of the priority weight, strict Archimedean t-norms are selected to induce the priority weight for each priority level. In addition, to preserve the tradeoffs in the prioritized aggregation, the degree of satisfaction regarding each priority level was viewed a pseudo criterion. Examples and comparative analysis are also given to illustrate the effectiveness and advantages of our approach.

Multi-criteria decision making (MCDM) prioritized aggregation ordered weighted averaging (OWA) triangular norms (T-norms)

Hong-Bin Yan Van-Nam Huynh Yoshiteru Nakamori

School of Knowledge Science, Japan Advanced Institute of Science and Technology 1-1 Asahidai, Tatsunokuchi, Ishikawa 923 - 1292, Japan

国际会议

The 9th International Symposium on Knowledge and Systems Sciences,The 4th Asia-Pacific International Conference on Knowledge Management(第九届国际知识与系统科学学术年会暨第四届亚太国际知识管理年会)

广州

英文

104-110

2008-12-11(万方平台首次上网日期,不代表论文的发表时间)