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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Interval-Valued Intuitionistic Fuzzy Mathematical Programming Method for Hybrid Multi-criteria Grouhe criteria weights, we construct a novel bi-objective IVIF mathematical programming model of minimizing the inconsistency index and meanwhile maximizing the consistency index, which is solved by the technically developed linear goal programming approach. The individual ranking order of alternatives

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A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets,the collective decision matrix obtained by aggregating the individual matrices, the score (profit) matrix, accuracy matrix and uncertainty (risk) matrix are derived. A multi-objective programming model is constructed to determine the attribute weights. Subsequently, the alternatives are ranked by em

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Additive Consistent Interval-Valued Atanassov Intuitionistic Fuzzy Preference Relation and Likelihoed 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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A Group Decision-Making Method Considering Both the Group Consensus and Multiplicative Consistency e 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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Daniel Pop,Gabriel Iuhasz,Dana Petcugrated by using the hybrid weighted average operator of IVIFNs. The ranking orders of alternatives are generated according to the collective overall attribute values. A numerical example is examined to illustrate the proposed method and the comparison analysis demonstrates the effectiveness and flex

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https://doi.org/10.1007/978-3-319-53474-9the collective decision matrix obtained by aggregating the individual matrices, the score (profit) matrix, accuracy matrix and uncertainty (risk) matrix are derived. A multi-objective programming model is constructed to determine the attribute weights. Subsequently, the alternatives are ranked by em