04012nam a22005295i 4500 978-3-031-60350-1 DE-He213 20251030112331.0 cr nn 008mamaa 240625s2024 sz | s |||| 0|eng d 9783031603501 978-3-031-60350-1 10.1007/978-3-031-60350-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Zheng, Yuanhang. author. aut http://id.loc.gov/vocabulary/relators/aut 79283 Granularities-Driven Hesitant Fuzzy Linguistic Decision Making [electronic resource] / by Yuanhang Zheng, Zeshui Xu. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIV, 188 p. 48 illus., 39 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Fuzziness and Soft Computing, 1860-0808 ; 433 1. Introduction -- 2. Hesitant fuzzy linguistic term set with granularity level -- 3. Attribute dependency processing based on hesitant fuzzy linguistic term sets with granularity levels -- 4. Attribute reduction procedure based on hesitant fuzzy linguistic term sets with granularity levels -- 5. Single-objective group decision making based on complete hesitant fuzzy linguistic term sets with granularity levels. This book introduces a state-of-the-art extension of fuzzy sets that is hesitant fuzzy linguistic term sets with granularity levels, and based on the fuzzy technique, several granularities-driven hesitant fuzzy linguistic decision-making methods are introduced to provide powerful tools to solve actual problems. Motivated from the idea of granular computing, the technique of hesitant fuzzy linguistic term sets with granularity levels is constructed, which not only brings flexibility and individuality for the linguistic model, but also provides a possibility to process a large amount of linguistic information in group decision-making efficiently and accurately. Thus, the researches on granularities-driven hesitant fuzzy linguistic decision making, can provide an effective way to solve practical decision-making problems based on complex linguistic information, and enrich the research system of decision-making and granular computing in theory and practice. In specific, this book introduces the construction of hesitant fuzzy linguistic term sets with granularity levels, and methods of handling attribute dependence, attribute reduction, single-objective group decision-making, and bi-objective group decision-making. The above decision-making methods are applied to the evaluation of medical and health management, and the effectiveness and advantages of the methods are verified by simulation comparison and analysis. Therefore, this book has not only important theoretical significance, but also broad application prospects. Computational intelligence. 64052 Artificial intelligence. 58441 Computational Intelligence. 64052 Artificial Intelligence. 58441 Xu, Zeshui. author. aut http://id.loc.gov/vocabulary/relators/aut 79284 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031603495 Printed edition: 9783031603518 Printed edition: 9783031603525 Studies in Fuzziness and Soft Computing, 1860-0808 ; 433 68285 https://doi.org/10.1007/978-3-031-60350-1 ZDB-2-INR ZDB-2-SXIT 61005 61005