Multiattribute decision making models and methods using intuitionistic fuzzy sets
Multiattribute decision making models and methods using intuitionistic fuzzy sets
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DOI：
10.1016/j.jcss.2004.06.002
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发表时间：
2005-02-01
影响因子：
1.1
通讯作者：
Li, DF
中科院分区：
文献类型：
--
作者：
Li, DF
直觉模糊集的概念是模糊集概念的推广。直觉模糊集理论非常适合于处理模糊性。近年来，直觉模糊集已被用于构建适应不精确信息的软决策模型，直觉模糊核和一致赢家者的群决策求解概念也被其他研究者利用直觉模糊集提出。然而，目前关于直觉模糊集在多准则和/或群体决策中的应用研究还很少。本文研究了直觉模糊集下的多属性决策问题，明确地考虑了多个指标，建立了多个线性规划模型来确定各属性的最优权重，并给出了相应的决策方法。 通过实例分析，表明了这种方法的有效性和可行性. (C)2004爱思唯尔公司All rights reserved.
The concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets. The theory of intuitionistic fuzzy sets is well suited to dealing with vagueness. Recently, intuitionistic fuzzy sets have been used to build soft decision making models that can accommodate imprecise information, and two solution concepts about the intuitionistic fuzzy core and the consensus winner for group decision-making have also been developed by other researchers using intuitionistic fuzzy sets. However, it seems that there is little investigation on multicriteria and/or group decision making using intuitionistic fuzzy sets with multiple criteria being explicitly taken into account. In this paper, multiattribute decision making using intuitionistic fuzzy sets is investigated, in which multiple criteria are explicitly considered, several linear programming models are constructed to generate optimal weights for attributes, and the corresponding decision-making methods have also been proposed. Feasibility and effectiveness of the proposed method are illustrated using a numerical example. (C) 2004 Elsevier Inc. All rights reserved.