Theory and Applications Su, Zhan. creator author. aut http://id.loc.gov/vocabulary/relators/aut Xu, Zeshui. author. aut http://id.loc.gov/vocabulary/relators/aut Zhang, Shen. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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electronic resource

access XIV, 145 p. 27 illus., 22 illus. in color. online resource. This book introduces the current research progress on hesitant fuzzy decision-making based on probability theory and methods. From the perspectives of theory expansion, information fusion, and information mining, it explores novel perspectives, ideas, and techniques for addressing hesitant fuzzy uncertain decision-making problems and demonstrates them through practical applications and case studies. It aims to provide a reference for researchers, practitioners, and graduate students in the fields of decision analysis, fuzzy theory, and information fusion. Introduction -- Probability-based hesitant fuzzy opinion dynamics decision-making method -- Distribution-based decision-making method for dual hesitant fuzzy information -- Multi-attribute decision-making method based on probabilistic hesitant fuzzy entropy -- Probability-based integration for continuous hesitant fuzzy information in group decision-making -- Probability-based political risk assessment in the Belt and Road investment -- Appendix I -- Appendix II. by Zhan Su, Zeshui Xu, Shen Zhang. Operations research Operations Research and Decision Theory T57.6-.97 9789819731404 https://doi.org/10.1007/978-981-97-3140-4 https://doi.org/10.1007/978-981-97-3140-4 240702 20251030112610.0 978-981-97-3140-4