二元语义环境下的多期多属性决策方法
首发时间:2007-10-16
摘要:针对二元语义环境下的多期多属性决策问题,提出了两种决策分析方法。首先,为了便于语言属性值和时间权重值的集结运算,提出了两种新的集结算子:动态二元语义加权平均(DT-WA)算子和扩展的动态二元语义加权平均(EDT-WA)算子。然后针对权重为实数,属性值为语言评价信息的多期多属性决策问题,提出了一种基于DT-WA算子和T-WA算子的决策方法;针对权重和属性值均为语言评价信息的多期多属性决策问题,提出了一种基于EDT-WA算子和ET-WA算子的决策方法。两种方法的核心是通过语言信息的集结运算,得到各方案的综合评价信息,从而根据二元语义信息的比较原则,得到所有方案的排序结果。最后给出了实例分析,说明了本文提出方法的可行性和实用性。
关键词: 多期多属性决策 DT-WA算子 EDT-WA算子 二元语义 集结
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A method for multiple periods multiple attribute decision making in two-tuple linguistic setting
Abstract:With respect to multiple periods multiple attribute decision making problems with linguistic information, two dynamic decision analysis approaches are proposed. Firstly, two new aggregation operators are proposed: the dynamic two-tuple linguistic weighted averaging (DT-WA) operator and extended dynamic two-tuple linguistic weighted averaging (EDT-WA) operator. Then, with respect to multiple period multiple attribute decision making problems in which the weight vector of the periods take the form of real numbers and the attribute values take the form of linguistic information, a method based on the DT-WA and T-WA operators is presented; with respect to multiple period multiple attribute decision making problems in which both the weight vector of the periods and the attribute values take the form of linguistic information, a method based on the EDT-WA and ET-WA operators is presented. In these two approaches, alternative appraisal values are calculated by the aggregation of two-tuple linguistic information. Thus, the ranking of alternative or selection of the most desirable alternative(s) is obtained by the comparison of two-tuple linguistic information. Finally, two numerical examples is used to illustrate the applicability and effectiveness of the proposed method
Keywords: multiple period multiple attribute decision making dynamic two-tuple linguistic weighted averaging (DT-WA) operator extended dynamic two-tuple linguistic weighted averaging (EDT-WA) operator two-tuple aggregation
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No.1568734679119250****
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