Titlebook: Intuitionistic Fuzzy Information Aggregation; Theory and Applicati Zeshui Xu,Xiaoqiang Cai Book 2012 Science Press, Beijing and Springer Be

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Nonlinear Optimization Models for Multi-Attribute Group Decision Making with Intuitionistic Fuzzy I optimization model based on all the individual intuitionistic fuzzy decision matrices to determine the weights of attributes. The simple additive weighting method is used to aggregate all the intuitionistic fuzzy attribute values corresponding to each alternative, and then the score function and th

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Intuitionistic Fuzzy Information Aggregation,60s. Central to the fuzzy set is the extension from the characteristic function taking the value of 0 or 1 to the membership function which can take any value from the closed interval [0,1]. However, the membership function is only a single-valued function, which cannot be used to express the suppor

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Projection Model-Based Approaches to Intuitionistic Fuzzy Multi-Attribute Decision Making, They introduce some concepts, such as the relative intuitionistic fuzzy ideal solution, the relative uncertain intuitionistic fuzzy ideal solution, the modules of IFNs and IVIFNs, etc. They also introduce the cosine of the included angle between the attribute value vectors of each alternative and t

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Nonlinear Optimization Models for Multi-Attribute Group Decision Making with Intuitionistic Fuzzy IEach of the attributes is composed of a membership degree, a non-membership degree, and an indeterminancy degree, and the weight information about both the experts and the attributes is to be determined. They first unify different types of attribute values so as to facilitate inter-attribute compari

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