基于集成算子的改进IITFN多属性群决策方法  

Multiple attribute group decision making method of improved IITFN based on aggregation operator

作　　者：徐丹青[1] 毛军军[1,2] 付亚男[1] 

机构地区：[1]安徽大学数学科学学院,合肥230601 [2]安徽大学计算智能与信号处理教育部重点实验室,合肥230039

出　　处：《计算机工程与应用》2013年第12期53-56,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61073117);安徽大学学术创新团队资助(No.KJTD001B);安徽省高等学校省级自然科学研究重点项目(No.KJ2013A033);安徽大学研究生创新项目资助

摘　　要：对区间直觉梯形模糊数决策方法进行研究。定义了区间直觉梯形模糊数期望值、得分函数和精确函数,进而给出了区间直觉梯形模糊数的一种新的排序方法。另一方面,给出了有序加权平均算子和混合集成算子。建立了基于区间直觉梯形模糊数的多属性群决策方法,给出了相应的群决策方法。实例分析验证了所提出方法的有效性。In this paper, decision making method based on the interval-valued intuitionistic trapezoidal fuzzy number is studied. Expected values, score function and accuracy function of interval-valued intuitionistic trapezoidal fuzzy number are defined. Based on these, an approach for raking interval-valued intuitionistic trapezoidal fuzzy number is proposed. On the other hand, the ordered weighted averaging operator and the hybrid aggregation operator are explored. Based on these operators, the model of multi-attributes group decision making is constructed. Furthermore, this paper proposes a method of decision making. An illus- trative example is given to show the effectiveness of the method.

关 键 词：区间直觉梯形模糊数 得分函数 有序加权平均算子 混合集成算子 多属性群决策 

分 类 号：O159[理学—数学]