Titlebook: Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets; Shuping Wan,Jiuying Dong Book 2020 Springer Natur

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Data Science and Classificatione second is to construct a multiple objective intuitionistic fuzzy programming model to determine the attribute weights. Borrowing the results of the former two issues, the last is to present a new method to solve heterogeneous MAGDM problem. A comparison analysis with existing method is conducted t

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Marie Chavent,Yves Lechevalliered by the distances between the individual IVAIFPRs and the collective one. To derive decision makers’ weights, an optimization model is constructed by maximizing the group consensus and transformed into a linear programming model to resolve. Subsequently, utilizing the IVAIF weighted averaging oper

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P. Raghu Vamsi,Aamir Ahmad,Vivek Dwivedie feasible domains of these two models are empty, two adjusted programming models are constructed to replace the originals. Combining the most optimistic and pessimistic interval priority weights, the IVIF priority weights are generated. Further, expert weights are derived from Markov model and used

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Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets978-981-15-1521-7

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Daniel Pop,Gabriel Iuhasz,Dana Petcu the interval-valued intuitionistic fuzzy decision making. From a viewpoint of probability, the possibility degree of comparison between two interval-valued intuitionistic fuzzy numbers (IVIFNs) is defined by using the notion of 2-dimensional random vector, and a new method is then developed to rank

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Sachin Subhash Patil,Shefali Pratap Sonavaneplications. The purpose of this chapter is to develop a novel interval-valued intuitionistic fuzzy (IVIF) mathematical programming method for hybrid MCGDM considering alternative comparisons with hesitancy degrees. The subjective preference relations between alternatives given by each decision maker