This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Studies in Fuzziness and Soft Computing, 376)

Business & Money

Xu, Zeshui

Zhou, Wei

Finance

Springer

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications.&nbsp; Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications (Studies in Fuzziness and Soft Computing, 396)

Computers & Technology

Gou, Xunjie

Computer Science

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. 
Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.\nFrom the Back Cover\nThis book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problemshas become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. 
Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications (Studies in Fuzziness and Soft Computing)

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.

Granularities-Driven Hesitant Fuzzy Linguistic Decision Making (Studies in Fuzziness and Soft Computing, 433)

Zheng, Yuanhang

Probabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications (Studies in Fuzziness and Soft Computing, 436)

Li, Bo

This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.

Hesitant Fuzzy Sets Theory (Studies in Fuzziness and Soft Computing, 314)

Management & Leadership

This book presents a systematic introduction to hesitant fuzzy theory. Coverage includes hesitant fuzzy aggregation techniques, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods.

The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. 

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Studies in Fuzziness and Soft Computing, 345)

Zhang, Xiaolu

This book offers a comprehensive and systematic review of the latest research findings in the area of intuitionistic fuzzy calculus. After introducing the intuitionistic fuzzy numbers’ operational laws and their geometrical and algebraic properties, the book defines the concept of intuitionistic fuzzy functions and presents the research on the derivative, differential, indefinite integral and definite integral of intuitionistic fuzzy functions. It also discusses some of the methods that have been successfully used to deal with continuous intuitionistic fuzzy information or data, which are different from the previous aggregation operators focusing on discrete information or data. Mainly intended for engineers and researchers in the fields of fuzzy mathematics, operations research, information science and management science, this book is also a valuable textbook for postgraduate and advanced undergraduate students alike.

Intuitionistic Fuzzy Calculus (Studies in Fuzziness and Soft Computing, 353)

Lei, Qian

See the best price to sell, buy, or rent books by Xu, Zeshui. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Xu, Zeshui

See the best price to sell, buy, or rent books by Xu, Zeshui. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Studies in Fuzziness and Soft Computing, 376)

Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications (Studies in Fuzziness and Soft Computing, 396)

Double Hierarchy Linguistic Term Set and Its Extensions: Theory and Applications (Studies in Fuzziness and Soft Computing)

Granularities-Driven Hesitant Fuzzy Linguistic Decision Making (Studies in Fuzziness and Soft Computing, 433)

Probabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications (Studies in Fuzziness and Soft Computing, 436)

Hesitant Fuzzy Sets Theory (Studies in Fuzziness and Soft Computing, 314)

Hesitant Fuzzy Sets Theory (Studies in Fuzziness and Soft Computing, 314)

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Studies in Fuzziness and Soft Computing, 345)

Intuitionistic Fuzzy Calculus (Studies in Fuzziness and Soft Computing, 353)

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Studies in Fuzziness and Soft Computing, 345)