Some Arithmetic Aggregation Operators with Intuitionistic Trapezoidal Fuzzy Numbers and Their Application to Group Decision Making

Some Arithmetic Aggregation Operators with Intuitionistic Trapezoidal Fuzzy Numbers and Their Application to Group Decision Making
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DOI:
10.4304/jcp.5.3.345-351
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发表时间:
2010-01
期刊:
J. Comput.
影响因子:
--
通讯作者:
G. Wei
G. Wei
中科院分区:
其他
文献类型:
--
作者:
G. Wei

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研究了直觉梯形模糊信息的聚合方法。介绍了直觉梯形模糊数的一些运算规律。基于这些运算规律,提出了直觉梯形模糊有序加权平均(ITFOWA)算子和直觉梯形模糊混合聚合(ITFHA)算子。分析了这些直觉梯形模糊信息聚合算子的性质。基于ITFWAA算子和ITFHA算子,提出了一种具有直观梯形模糊信息的多属性群决策方法。最后,通过实例验证了该方法的有效性和实用性。
Methods for aggregating intuitionistic trapezoidal fuzzy information are investigated. Some operational laws of intuitionistic trapezoidal fuzzy numbers are introduced. Based on these operational laws, some aggregation operators, including intuitionistic trapezoidal fuzzy ordered weighted averaging (ITFOWA) operator and intuitionistic trapezoidal fuzzy hybrid aggregation (ITFHA) operator, are proposed. Properties of these intuitionistic trapezoidal fuzzy information aggregation operators are also analyzed. An approach to multiple attribute group decision making (MAGDM) with intuitionistic trapezoidal fuzzy information is developed based on the ITFWAA and the ITFHA operators. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.