Details
Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions
Uncertainty and Operations Research
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96,29 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 12.01.2019 |
| ISBN/EAN: | 9789811337352 |
| Sprache: | englisch |
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Beschreibungen
<div>This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.<br></div>
Chapter 1 Backgrounds and literature review.- Chapter 2 Representational models and computational foundations of some types of uncertain linguistic expressions.- Chapter 3 Group decision making based on EHFLTSs under the framework of decision matrix.- Chapter 4 Preference analysis and applications based on EHFLTSs.- Chapter 5 Preference analysis and group decision making based on LTWHs.- Chapter 6 An aspiration-based approach with multiple types of uncertain linguistic expressions.- Chapter 7 Group decision-making with multiple types of uncertain linguistic expressions: Stochastic acceptability analysis.- Chapter 8 Provider selection of big data-based auditing platforms with uncertain linguistic expressions.
Hai Wang received the Bachelor Degree in Mathematics from China University of Geoscience, Wuhan, China, in 2005, the Master Degree in management science and engineering from Nanjing Normal University, Nanjing, China, in 2012, and the Ph. D degree in management science and engineering from Southeast University, Nanjing, China, in 2017. He is currently a lecturer with the School of information engineering, Nanjing Audit University, Nanjing. His h-index is 16. He has contributed more than 30 journal articles to professional journals. His current research interests include information fusion, group decision making, computing with words, and intelligent computing.<div><br></div><div>Zeshui Xu received the Ph. D degree in management science and engineering from Southeast University, Nanjing, China, in 2003. He is the IFSA Fellow, a Distinguished Young Scholar of the National Natural Science Foundation of China, and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a Professor with the Business School, Sichuan University, Chengdu. He has been selected as a 2014-2017 Thomson Reuters Highly Cited Researcher and included in The World's Most Influential Scientific Minds 2014-2017, and most cited Chinese researchers (Ranked first in Computer Science, 2014-2017, Released by Elsevier). His h-index is 112. He has contributed more than 680 journal articles to professional journals. His current research interests include information fusion, group decision making, computing with words, and aggregation operators. Prof. Xu is the Associate Editor of IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Fuzzy Optimization and Decision Making, International Journal of Fuzzy Systems, International Journal Machine Leaning and Cybernetics, etc.<p></p><br></div>
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.<div><br></div>
Provides theories and techniques to model several types of uncertain linguistic expressions Introduces approaches to solve group decision-making problems involving uncertainty in decision information Identifies the approaches by practical applications, such as the selection of big data-based audit platforms
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