04454nam a22005655i 4500 978-981-97-3584-6 DE-He213 20251030112635.0 cr nn 008mamaa 240717s2024 si | s |||| 0|eng d 9789819735846 978-981-97-3584-6 10.1007/978-981-97-3584-6 doi T57.6-.97 KJT bicssc KJMD bicssc BUS049000 bisacsh KJT thema KJMD thema Zhang, Zhen. author. aut http://id.loc.gov/vocabulary/relators/aut 80805 Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty [electronic resource] : Theories, Methods and Applications / by Zhen Zhang, Wenyu Yu, Zhuolin Li. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 198 p. 34 illus., 19 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Uncertainty and Operations Research, 2195-9978 Linguistic Computational Models for Computing with Words -- Basic Linguistic Computation Models for Computing with Words -- Linguistic Computational Models for Modeling Complex Linguistic Information -- MAGDM Methods Based on Multi-granular Linguistic Information -- Consensus-based Method for MAGDM with Multi-granular Unbalanced Linguistic Information -- MALGDM Method with Multi-granular Linguistic Information -- MAGDM Methods Based on Hesitant Fuzzy Linguistic Information -- MAGDM with Multi-granular HFLTSS: A Minimum Adjustment-Based Consensus Model -- Extended TODIM for MAGDM Based on Unbalanced HFLTSS -- A Linguistic Distribution-based Approach to MALGDM with Multi-granular Unbalanced Hesitant Fuzzy Linguistic Information -- PISs-Based Linguistic GDM Methods -- Consistency and Consensus Driven Method for GDM Based on PISs -- A PISs-Based Approach to SNGDM: Managing Non-Cooperative Behavior. This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields. Operations research. 57943 Management science. 57941 Operations Research and Decision Theory. 67143 Operations Research, Management Science. 65527 Yu, Wenyu. author. aut http://id.loc.gov/vocabulary/relators/aut 80806 Li, Zhuolin. author. aut http://id.loc.gov/vocabulary/relators/aut 80807 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819735839 Printed edition: 9789819735853 Printed edition: 9789819735860 Uncertainty and Operations Research, 2195-9978 77657 https://doi.org/10.1007/978-981-97-3584-6 ZDB-2-BUM ZDB-2-SXBM 61702 61702