Description: Granularities-Driven Hesitant Fuzzy Linguistic Decision Making by Yuanhang Zheng, Zeshui Xu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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. Author Biography Yuanhang Zheng received the Ph.D. degree in management science and engineering from Sichuan University, China, in 2022, and received the B.S. degree from Sichuan University, China, in 2017. She is currently an Associate researcher with the College of Computer, Sichuan University. She has been elected as the IEEE Senior Member. As the first author, she has published 1 monographs by Springer. As the first/corresponding author, she has published more than 10 high-level research papers in IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, Expert Systems with Applications, Knowledge-Based Systems, Applied Soft Computing, International Journal of Intelligent Systems, Artificial Intelligence Review, etc. Those papers have gained more than 270 citations in Google Scholar and her corresponding h-index is 8. Now she has hosted the National Natural Science Foundation of China and Natural Science Foundation of Sichuan Province. Her current research interests include intelligent decision-making, large-scale group decision making and intelligent medical management. Dr. Zheng has a motto: All experience is wealth.Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. From October 2005 to December 2007, he was a Postdoctoral Researcher with School of Economics and Management, Tsinghua University, China. He was a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholar of the Ministry of Education of China. He is currently a Chair Professor with Sichuan University, Chengdu. He has been elected as the member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Natural Sciences, and International Academy for Systems and Cybernetic Sciences, the Distinguished Fellow of IETI, the Fellow of IEEE, IFSA, RSA, IET, ORS, BCS, IAAM, AAIA, VEBLEO, AIIA, and ACIS. He is ranked 30th in 2019 single year scientific impact and 162th in career scientific impact among Worlds top 100,000 Scientists, and ranked 40th among the Worlds best scientists in the arena of Computer Science in 2023. He has published 21 monographs by Springer and contributed more than 900 SCI/SSCI articles to professional journals. He is among the worlds top 1% most highly cited researchers with more than 90,000 citations in Google Scholar, his h-index is 148. He is currently the Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Information Sciences, Artificial Intelligence Review, Cognitive Computation, Applied Intelligence, Journal of the Operational Research, Fuzzy Optimization and Decision Making, etc. His current research interests include Decision-making theory and methodology, optimization algorithms, information fusion, and big data analytics. Details ISBN 3031603494 ISBN-13 9783031603495 Title Granularities-Driven Hesitant Fuzzy Linguistic Decision Making Author Yuanhang Zheng, Zeshui Xu Format Hardcover Year 2024 Pages 188 Edition 2024th Publisher Springer International Publishing AG GE_Item_ID:168374804; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 234.08 USD
Location: Fairfield, Ohio
End Time: 2025-01-12T12:52:01.000Z
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ISBN-13: 9783031603495
Book Title: Granularities-Driven Hesitant Fuzzy Linguistic Decision Making
Number of Pages: Xiv, 188 Pages
Language: English
Publication Name: Granularities-Driven Hesitant Fuzzy Linguistic Decision Making
Publisher: Springer
Subject: Engineering (General), Intelligence (Ai) & Semantics, General
Publication Year: 2024
Type: Textbook
Author: Zeshui Xu, Yuanhang Zheng
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Hardcover
