Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets

1. Auflage 2020
ISBN: 978-981-15-1520-0
Verlag: Springer Nature Singapore

Buch, Englisch, 313 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 664 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Dong, Jiuying

Wan, Shuping

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making.- A new method for Atanassov's interval-valued intuitionistic fuzzy MAGDM with incomplete attribute weight information.- Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degrees.- A selection method based on MAGDM with interval-valued intuitionistic fuzzy sets, Mathematical Problems in Engineering.- Aggregating decision information into interval-valued intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making.- A novel method for group decision making with interval-valued Atanassov intuitionistic fuzzy preference relations.- Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making.- A three-phase method for group decision making with interval-valued intuitionistic fuzzy preference relations.- A group decision-making method considering both the group consensus and multiplicative consistency of interval-valued intuitionistic fuzzy preference relations.

Über Autor(innen)

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.