Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications - Chenyang Song, Zeshui Xu

Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications (eBook)

eBook Download: PDF
2021 | 1st ed. 2021
XII, 176 Seiten
Springer Singapore (Verlag)
978-981-16-5800-6 (ISBN)
Systemvoraussetzungen
139,09 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.



Chenyang Song received the Bachelor Degree in meteorology from PLA University of Science and Technology, Nanjing, China, in 2014, the Master Degree in meteorology from PLA University of Science and Technology, Nanjing, China, in 2017, and the Ph.D degree in computer science from the Army Engineering University of PLA, Nanjing, China, in 2020. He is currently an engineer at the Army Aviation Institute, Beijing, China. He has published more than ten peer reviewed papers, and his research works has been published in Applied Soft Computing, International Journal of Intelligent Systems, International Journal of Fuzzy Systems, Applied Intelligence, International Journal of Machine Learning and Cybernetics, Journal of Intelligent and Fuzzy Systems, etc. His current research interests include decision analysis, optimization and data fusion.

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 Professor with the Business School, Sichuan University, Chengdu. He has been elected as Academician of IASCYS, Fellow of IEEE, IFSA, RSA, IET, ORS, BCS, VEBLEO, IAAM, AAIA, and ranked 30th in 2019 single year scientific impact and 258th in career scientific impact among World's top 100,000 Scientists, and ranked 57th among World's top 1,000 Scientists in Computer Science & Electronics in 2020. He has published 17 monographs by Springer and contributed more than 650 SCI/SSCI articles to professional journals. He is among the world's top 1% most highly cited researchers with about 67,000 citations in Google Scholar, his h-index is 133. He is currently the Associate Editors of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Access, 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.

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.
Erscheint lt. Verlag 3.10.2021
Reihe/Serie Uncertainty and Operations Research
Uncertainty and Operations Research
Zusatzinfo XII, 176 p. 34 illus., 13 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte Decision Making • Hesitant Fuzzy Set • Interval-Valued Probabilistic Hesitant Fuzzy Set • Regression Analysis • uncertain reasoning
ISBN-10 981-16-5800-5 / 9811658005
ISBN-13 978-981-16-5800-6 / 9789811658006
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Discover tactics to decrease churn and expand revenue

von Jeff Mar; Peter Armaly

eBook Download (2024)
Packt Publishing (Verlag)
25,19