基于Choquet积分的区间直觉梯形模糊多属性群决策
APPROACH FOR MULTIPLE ATTRIBUTE GROUP DECISION-MAKING WITH INTERVAL VALUED INTUITIONISTIC TRAPEZOIDAL FUZZY NUMBER BASED ON CHOQUET INTEGRAL
针对决策信息为区间直觉梯形模糊数(IVITFN)且属性间存在相互关联的多属性群决策问题, 提出了基于Choquet积分理论的区间直觉梯形模糊关联平均(IVITFCA)算子.首先,基于IVITFN的运算法则和Choquet积分, 定义了IVITFCA算子,并研究了该算子的相关性质.然后,提出了基于IVITFCA算子的多属性群决策方法. 最后,通过供应商选择算例证明了所提方法的有效性与可行性.
With respect to the problems of multiple attribute group decision-making (MAGDM) in which the attribute values are in the form of interval-valued intuitionistic trapezoidal fuzzy numbers (IVITFN) and attributes are associated with each other, an interval-valued intuitionistic trapezoidal fuzzy correlated average operator is proposed based on Choquet integral. Firstly, based on the Choquet integral and operational laws of IVITFN, IVITFCA operator is defined, and some of its properties are investigated. Then, an approach of multi-attribute decision group making based on IVITFCA operator is given. Finally, an illustrative example of supplier selection is provided to demonstrate the effectiveness and feasibility of the proposed method.
区间直觉梯形模糊数 / Choquet积分 / 区间直觉梯形模糊Choquet算子 / 多属性群决策. {{custom_keyword}} /
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