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机构地区:[1]西南交通大学交通运输与物流学院,成都610031 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室,成都610031
出 处:《控制与决策》2017年第11期2021-2033,共13页Control and Decision
基 金:国家自然科学基金项目(71371156)
摘 要:首先,通过实例探究现存连续区间直觉模糊有序加权平均(C-IVIFOWA)算子的不足,引入标准否定函数(standard negation),构造对偶连续区间有序加权平均(DC-OWA)算子,进而提出改进的连续区间直觉模糊有序加权平均(IC-IVIFOWA)算子;然后,针对多个区间直觉模糊评价信息的集结问题,基于IC-IVIFOWA算子提出改进的加权连续区间直觉模糊有序加权平均(WIC-IVIFOWA)算子,证明了算子的相关性质;最后,运用WIC-IVIFOWA算子提出一种区间直觉模糊多属性决策方法,并通过实例表明所提出方法的有效性.The drawbacks of the existing continuous interval-valued intuitionistic fuzzy ordered weighted average(CIVIFOWA) operator are illustrated by an example, and the standard negation is introduced to develop the dual continuous ordered weighted average(DC-OWA) operator. Then, the improved continuous interval-valued intuitionistic fuzzy ordered weighted average(IC-IVIFOWA) operator is proposed to overcome the shortages. Based on the IC-IVIFOWA operator, the improved weighted continuous interval-valued intuitionistic fuzzy ordered weighted average(WIC-IVIFOWA) operator is defined to the aggregation of multiple interval-valued intuitionistic fuzzy numbers. Some desirable properties of this operator are proofed. An interval-valued intuitionistic fuzzy multiple attribute decision making approach is proposed by using the WIC-IVIFOWA operator, and a practical example is given to illustrate the effectiveness of the proposed approach.
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