Cantitate/Preț
Produs

Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications: Uncertainty and Operations Research

Autor Zhinan Hao, Zeshui Xu, Hua Zhao
en Limba Engleză Paperback – 15 mar 2021
This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 61427 lei  6-8 săpt.
  Springer Nature Singapore – 15 mar 2021 61427 lei  6-8 săpt.
Hardback (1) 62015 lei  6-8 săpt.
  Springer Nature Singapore – 15 mar 2020 62015 lei  6-8 săpt.

Din seria Uncertainty and Operations Research

Preț: 61427 lei

Preț vechi: 72267 lei
-15% Nou

Puncte Express: 921

Preț estimativ în valută:
11757 12254$ 9787£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811538933
ISBN-10: 981153893X
Ilustrații: IX, 121 p. 25 illus., 9 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Uncertainty and Operations Research

Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Decision Making Method Based on Distance Measure and Similarity Measure.- Dynamic Decision Making Method Based on The Intuitionistic Fuzzy Bayesian Network.- Novel Intuitionistic Fuzzy Decision Making Models in The Framework of Decision Field Theory.- Decision Making Method Under Probabilistic and Cognitive Environment.- Appendix. 

Notă biografică

Zhinan Hao received the Ph.D. degree in computer science and technology from Army Engineering University of PLA, Nanjing, China, in 2018. He has contributed 4 journal articles to professional journals, and his current research interests include decision making and fuzzy sets.

Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. He is 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 Business School, Sichuan University, Chengdu, China. He has contributed more than 450 journal articles to professional journals, and his current research interests include information fusion, decision making, and fuzzy sets.

Hua Zhao received the Ph.D. degree in military operation research from PLA University of Science and Technology, Nanjing, China, in 2011. She is currently an Associated Professor with Department of General Education, Army Engineering University of PLA, Nanjing, China. She has contributed more than 30 journal articles to professional journals, and her current research interests include clustering analysis, decision making and fuzzy sets.

Textul de pe ultima copertă

This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.

Caracteristici

Introduces a new intuitionistic fuzzy decision-making method based on a new distance measure and similarity measure for the intuitionistic fuzzy set Presents two types of intuitionistic fuzzy dynamic decision-making method based on Bayesian networks and decision fields, which are rarely covered in related research Discusses the probabilistic dual hesitant fuzzy set and its properties and applications in decision-making