A Method for Interval-valued Intuitionistic Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information

摘要：

With respect to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information, some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. An optimization model based on the ideal solution and min-max operator, by which the attribute weights can be determined, is established. We utilize the interval-valued intuitionistic fuzzy weighted arithmetic averaging (IIWAA) operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative,and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

关键词： Interval-valued intuitionistic fuzzy numbers Operational laws Interval-valued intuitionistic fuzzy weighted arithmetic averaging (IIWAA) operator Incomplete weight

作者: Guiwu Wei Wende Yi

作者单位: Department of Economy and Management, Chongqing University of Arts and Sciences, Chongqing 402160,P. Department of Mathematics and Computer Science, Chongqing University of Arts and Sciences, Chongqing

会议类型: 国际会议

会议名称: The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)

会议地点: 成都

会议语种:英文

页码: 708-714

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）