Risk Matrix
Rating Scheme Design and Risk Aggregation
Published on 13. June 2022
Book
Hardback
VIII, 173 pages
978-981-19-1479-9 (ISBN)
Description
This book focuses on discussing the issues of rating scheme design and risk aggregation of risk matrix, which is a popular risk assessment tool in many fields. Although risk matrix is usually treated as qualitative tool, this book conducts the analysis from the quantitative perspective. The discussed content belongs to the scope of risk management, and to be more specific, it is related to quick risk assessment. This book is suitable for the researchers and practitioners related to qualitative or quick risk assessment and highly helps readers understanding how to design more convincing risk assessment tools and do more accurate risk assessment in a uncertain context.
Reviews / Votes
"This book is concerned with risk, in all of its forms, its modeling, formalization and handling. . this book can serve for a diverse variety of audiences, nearly to anyone of them. . the book is written and illustrated in such a pleasant way. . Based on this remarkable book, many future scientific, applied and real-world illustrations and usages can be explored and pursued in the vast and quickly expanding universe of modern research . ." (Gerhard-Wilhelm Weber, Ismail Özcan and Jinal Parikh, zbMATH 1503.91005, 2023)More details
Series
Edition
2022 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
16 s/w Abbildungen, 96 farbige Abbildungen
VIII, 173 p. 112 illus., 96 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 16 mm
Weight
448 gr
ISBN-13
978-981-19-1479-9 (9789811914799)
DOI
10.1007/978-981-19-1480-5
Schweitzer Classification
Other editions
Additional editions
Book
06/2023
Springer
€171.19
Shipment within 3-4 weeks
E-Book
06/2022
1st Edition
Springer
€171.19
Available for download
Persons
Chunbing Bao is an associate professor working in the Department of Information System and Supply Chain Management, Shandong University, China. He received his bachelor's degree from the University of Science and Technology of China, and he received his Ph.D. from the University of Chinese Academy of Sciences. His researches interests include risk management, supply chain management.
Jianping Li is a distinguished professor at the University of Chinese Academy of Sciences (UCAS). He is also the executive vice dean of the School of Economics and Management at the UCAS and the executive member and secretary-general of the International Academy on Information Technology and Quantitative Management (IAITQM). His research interests include risk management and big data analysis. He has published more than 130 papers and 6 monographs, including Risk Analysis, Annals of Tourism Research, and European Journal of Operational Research. He has been awarded "2020Elsevier Highly Cited Chinese Researchers", "China Youth Science and Technology Award", "National Outstanding Science and Technology Worker of China", "Excellent Tutor Award of Chinese Academy of Sciences", and won 2 first prizes and 4 second prizes of provincial and ministerial Natural Science/Technology Progress Awards in China.
Dengsheng Wu is an associate professor at the Institutes of Science and Development Chinese Academy of Sciences. He is a member of the Youth Innovation Promotion Association of Chinese Academy of Sciences and severs as the academic editor of the Innovation, associate editor of the Chinese Journal of Management Science. He has published 50 articles, among which more than 20 articles are indexed by the FMS journal rating guide, such as the important journal Risk Analysis, European Journal of Operational Research. His researches interests include risk management, Scientometrics.
Jianping Li is a distinguished professor at the University of Chinese Academy of Sciences (UCAS). He is also the executive vice dean of the School of Economics and Management at the UCAS and the executive member and secretary-general of the International Academy on Information Technology and Quantitative Management (IAITQM). His research interests include risk management and big data analysis. He has published more than 130 papers and 6 monographs, including Risk Analysis, Annals of Tourism Research, and European Journal of Operational Research. He has been awarded "2020Elsevier Highly Cited Chinese Researchers", "China Youth Science and Technology Award", "National Outstanding Science and Technology Worker of China", "Excellent Tutor Award of Chinese Academy of Sciences", and won 2 first prizes and 4 second prizes of provincial and ministerial Natural Science/Technology Progress Awards in China.
Dengsheng Wu is an associate professor at the Institutes of Science and Development Chinese Academy of Sciences. He is a member of the Youth Innovation Promotion Association of Chinese Academy of Sciences and severs as the academic editor of the Innovation, associate editor of the Chinese Journal of Management Science. He has published 50 articles, among which more than 20 articles are indexed by the FMS journal rating guide, such as the important journal Risk Analysis, European Journal of Operational Research. His researches interests include risk management, Scientometrics.
Content
Chapter 1. Risk matrix: Foundations and Overview.- Chapter 2. Different types of risk matrices and typical applications.- Chapter 3. Rating scheme design methods.- Chapter 4. Risk perceptions in risk matrix: sources and impact to risk matrix design.- Chapter 5. Risk matrix design assessment: criteria and quantitative indicators.- Chapter 6. Risk matrix aggregation: A general framework.- Chapter 7. Risk matrix aggregation methods: introduction and comparative analysis.- Chapter 8. Three dimensional risk matrix: theoretical basis and construction. Chapter 9. Conclusion.