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基于集成算子的改进IITFN多属性群决策方法
引用本文:徐丹青,毛军军,付亚男. 基于集成算子的改进IITFN多属性群决策方法[J]. 计算机工程与应用, 2013, 49(12): 53-56
作者姓名:徐丹青  毛军军  付亚男
作者单位:1.安徽大学 数学科学学院,合肥 2306012.安徽大学 计算智能与信号处理教育部重点实验室,合肥 230039
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。

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  

Multiple attribute group decision making method of improved IITFN based on aggregation operator
XU Danqing,MAO Junjun,FU Yanan. Multiple attribute group decision making method of improved IITFN based on aggregation operator[J]. Computer Engineering and Applications, 2013, 49(12): 53-56
Authors:XU Danqing  MAO Junjun  FU Yanan
Affiliation:1.School of Mathematical Sciences, Anhui University, Hefei 230601, China2.Key Lab of Intelligent Computing & Signal Processing of Ministry of Education, Anhui University, Hefei 230039, China
Abstract: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 illustrative example is given to show the effectiveness of the method.
Keywords:interval-valued intuitionistic trapezoidal fuzzy number  score function  ordered weighted averaging operator  hybrid aggregation operator  multi-attribute group decision making  
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