04305nam 22006255 450 991048490300332120200630024938.0981-15-1521-210.1007/978-981-15-1521-7(CKB)4100000010348976(MiAaPQ)EBC6038349(DE-He213)978-981-15-1521-7(PPN)243768427(EXLCZ)99410000001034897620200203d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDecision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets[electronic resource] /by Shuping Wan, Jiuying Dong1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (326 pages)981-15-1520-4 A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making -- A new method for Atanassov's interval-valued intuitionistic fuzzy MAGDM with incomplete attribute weight information -- Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degrees -- A selection method based on MAGDM with interval-valued intuitionistic fuzzy sets, Mathematical Problems in Engineering -- Aggregating decision information into interval-valued intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making -- A novel method for group decision making with interval-valued Atanassov intuitionistic fuzzy preference relations -- Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making -- A three-phase method for group decision making with interval-valued intuitionistic fuzzy preference relations -- A group decision-making method considering both the group consensus and multiplicative consistency of interval-valued intuitionistic fuzzy preference relations.This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors’ latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.Computational intelligenceControl engineeringOperations researchDecision makingGame theoryComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Computational intelligence.Control engineering.Operations research.Decision making.Game theory.Computational Intelligence.Control and Systems Theory.Operations Research/Decision Theory.Game Theory, Economics, Social and Behav. Sciences.511.322Wan Shupingauthttp://id.loc.gov/vocabulary/relators/aut1225561Dong Jiuyingauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910484903003321Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets2845461UNINA