Shuping Wan, Jiuying Dong

eBook, PDF

Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets (eBook, PDF)

Beschreibung

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 5.58MB

Autor

S. P. Wan received the Ph.D. degree in control theory and control engineer from Nankai University, Tianjin, China, in 2005. He is currently a professor in College of Information Technology, Jiangxi University of Finance and Economics, China. He has contributed more than 120 journal articles to professional journals, such as Omega, IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Applied Mathematical Modelling, International Journal of Computational Intelligence Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Journal of Intelligent and Fuzzy Systems, Applied Soft Computing, Journal of Computer and System Sciences, and Expert Systems with Applications, International Journal of Information Technology & Decision Making, Computers & Industrial Engineering, Fuzzy Optimization and Decision Making, Journal of the Operational Research, Iranian Journal of Fuzzy Systems, Scientia Iranica, and Neural Computing and Applications. He has also been invited as a reviewer for more than 30 international academic journals. His current research interests include decision analysis, fuzzy game theory, information fusion, and financial engineering.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 313
• Erscheinungstermin: 3. Februar 2020
• Englisch
• ISBN-13: 9789811515217
• Artikelnr.: 58645324