Risk Management Strategies Using Fuzzy Optimization Techniques
Will be published approx. on 3. November 2026
264 pages
E-Book
978-1-040-62546-0 (ISBN)
Description
The book explores advanced risk management strategies through fuzzy decision-making and optimisation techniques. It provides a structured approach to handling uncertainty, ambiguity, and imprecise data in critical decision-making environments. This book examines fuzzy set theory, fuzzy numbers, fuzzy decision trees, and fuzzy clustering for risk assessment. With a focus on fuzzy goal programming, the book offers practical methodologies for maximising returns, minimising risks, and maintaining liquidity across diverse sectors.
Integrates finance, management, mathematics, information technology, and engineering to enhance risk assessment.
Includes case studies on credit risk assessment, portfolio optimisation, supplier selection, and environmental impact analysis.
Provides frameworks for addressing ambiguity in data-driven decision-making environments.
Demonstrates how fuzzy techniques enhance risk mitigation and strategic decision-making and offers step-by-step methodologies for applying fuzzy optimisation in real-world scenarios.
This book is a valuable resource for students, researchers, and professionals seeking to improve decision-making under uncertainty in finance, management, and engineering.
Integrates finance, management, mathematics, information technology, and engineering to enhance risk assessment.
Includes case studies on credit risk assessment, portfolio optimisation, supplier selection, and environmental impact analysis.
Provides frameworks for addressing ambiguity in data-driven decision-making environments.
Demonstrates how fuzzy techniques enhance risk mitigation and strategic decision-making and offers step-by-step methodologies for applying fuzzy optimisation in real-world scenarios.
This book is a valuable resource for students, researchers, and professionals seeking to improve decision-making under uncertainty in finance, management, and engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
38 Tables, black and white; 12 Line drawings, black and white; 9 Halftones, black and white; 21 Illustrations, black and white
ISBN-13
978-1-040-62546-0 (9781040625460)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kandarp Vidyasagar | Rajiv Kumar Dwivedi | Chandrani Singh
Risk Management Strategies Using Fuzzy Optimization Techniques
Book
approx. 11/2026
1st Edition
CRC Press
€142.50
Not yet published
Persons
Kandarp Vidyasagar is an accomplished academic and researcher in the field of Mathematics, currently serving as an Assistant Professor at Yogoda Satsanga Mahavidyalaya, Ranchi. He holds a Ph.D. from Vinoba Bhave University, where he specialized in decision-making in the banking sector using fuzzy goal programming-an area that combines mathematical modelling with real-world uncertainty.
A recipient of the prestigious CSIR Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF), Dr. Vidyasagar has demonstrated exceptional research potential and scholarly excellence. With over five years of dedicated research experience in fuzzy optimization, he has developed strong expertise in handling complex decision-making problems under uncertainty.
Dr. Vidyasagar has actively contributed to both national and international academic platforms through conferences and research publications. His work particularly focuses on the Indian banking sector, with special emphasis on financial challenges emerging in the post-COVID-19 era. In addition to his research accomplishments, he also has experience in undergraduate teaching, where he is committed to fostering analytical thinking and mathematical understanding among students.
His academic journey reflects a blend of rigorous research, practical application, and a commitment to advancing knowledge in applied mathematics and optimization techniques.
Rajiv Kumar Dwivedi is a distinguished mathematician and academician with an extensive career in teaching, research, and academic leadership. He earned his Ph.D. in Mathematics from IIT (ISM) Dhanbad, specializing in Fuzzy Concepts and Optimization-an area that addresses complex decision-making under uncertainty and has wide-ranging applications in science and engineering.
With an impressive teaching career spanning over four decades, Dr. Dwivedi brings 16 years of undergraduate and 26 years of postgraduate teaching experience. His deep commitment to education has shaped the academic journeys of numerous students, fostering critical thinking and research aptitude. As a research mentor, he has successfully guided 16 Ph.D. scholars, contributing significantly to the development of future researchers in mathematics.
Dr. Dwivedi has served as Associate Professor and Head of the Department of Mathematics at Vinoba Bhave University, Hazaribagh, where he played a key role in strengthening academic programs and research culture. Additionally, his tenure as Dean of Science reflects his administrative acumen and visionary leadership in advancing interdisciplinary education.
With over 60 research publications in reputed national and international journals, Dr. Dwivedi's scholarly contributions have had a lasting impact on the fields of fuzzy optimization and applied mathematics.
Chandrani Singh is a seasoned academician, researcher, and technology expert with over 25 years of rich teaching and professional experience across reputed institutions in Orissa and Maharashtra. She is currently pursuing post-doctoral research in Information Technology at Lincoln University, Malaysia, further strengthening her interdisciplinary expertise in computing and applied technologies.
Dr. Singh earned her Doctorate in Philosophy in Computer Management in 2013 and holds both a Master of Engineering in Computer Science (1998) and a Master of Computer Applications (1995) from NIT Rourkela, securing first-class honors in both degrees. Her strong academic foundation is complemented by her commitment to innovation, research, and impactful knowledge dissemination.
An accomplished author, Dr. Singh has written several books that are widely prescribed in prestigious national and international universities. She actively collaborates with academic and research institutions worldwide, contributing as a Chair, Speaker, Reviewer, and Scientific Committee Member at numerous conferences.
In addition to her academic pursuits, she heads the Sinhgad Data Centre, where she leads initiatives in technology solutions, institutional website development, and identity and access management systems. A member of IEEE and the Engineering Council of India, Dr. Singh continues to contribute significantly to academia, research, and industry collaboration.
Valentina Emilia Balas is a distinguished academician and globally recognized researcher in the field of intelligent systems and applied software engineering. She serves as a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She earned her Ph.D. Cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara, reflecting her strong academic foundation and research excellence.
With an exceptional research portfolio, Dr. Balas has authored over 400 papers in reputed international journals and conferences, establishing herself as a leading contributor to the advancement of modern computational techniques. Her primary research interests include Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, and Modelling and Simulation-areas that are pivotal to emerging technological innovations.
Dr. Balas holds prominent editorial positions as the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE). She is also an active member of editorial boards for several prestigious journals.
In addition, she serves as an expert evaluator for national and international research projects and doctoral theses, contributing significantly to the global academic and research community through her expertise and leadership.
A recipient of the prestigious CSIR Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF), Dr. Vidyasagar has demonstrated exceptional research potential and scholarly excellence. With over five years of dedicated research experience in fuzzy optimization, he has developed strong expertise in handling complex decision-making problems under uncertainty.
Dr. Vidyasagar has actively contributed to both national and international academic platforms through conferences and research publications. His work particularly focuses on the Indian banking sector, with special emphasis on financial challenges emerging in the post-COVID-19 era. In addition to his research accomplishments, he also has experience in undergraduate teaching, where he is committed to fostering analytical thinking and mathematical understanding among students.
His academic journey reflects a blend of rigorous research, practical application, and a commitment to advancing knowledge in applied mathematics and optimization techniques.
Rajiv Kumar Dwivedi is a distinguished mathematician and academician with an extensive career in teaching, research, and academic leadership. He earned his Ph.D. in Mathematics from IIT (ISM) Dhanbad, specializing in Fuzzy Concepts and Optimization-an area that addresses complex decision-making under uncertainty and has wide-ranging applications in science and engineering.
With an impressive teaching career spanning over four decades, Dr. Dwivedi brings 16 years of undergraduate and 26 years of postgraduate teaching experience. His deep commitment to education has shaped the academic journeys of numerous students, fostering critical thinking and research aptitude. As a research mentor, he has successfully guided 16 Ph.D. scholars, contributing significantly to the development of future researchers in mathematics.
Dr. Dwivedi has served as Associate Professor and Head of the Department of Mathematics at Vinoba Bhave University, Hazaribagh, where he played a key role in strengthening academic programs and research culture. Additionally, his tenure as Dean of Science reflects his administrative acumen and visionary leadership in advancing interdisciplinary education.
With over 60 research publications in reputed national and international journals, Dr. Dwivedi's scholarly contributions have had a lasting impact on the fields of fuzzy optimization and applied mathematics.
Chandrani Singh is a seasoned academician, researcher, and technology expert with over 25 years of rich teaching and professional experience across reputed institutions in Orissa and Maharashtra. She is currently pursuing post-doctoral research in Information Technology at Lincoln University, Malaysia, further strengthening her interdisciplinary expertise in computing and applied technologies.
Dr. Singh earned her Doctorate in Philosophy in Computer Management in 2013 and holds both a Master of Engineering in Computer Science (1998) and a Master of Computer Applications (1995) from NIT Rourkela, securing first-class honors in both degrees. Her strong academic foundation is complemented by her commitment to innovation, research, and impactful knowledge dissemination.
An accomplished author, Dr. Singh has written several books that are widely prescribed in prestigious national and international universities. She actively collaborates with academic and research institutions worldwide, contributing as a Chair, Speaker, Reviewer, and Scientific Committee Member at numerous conferences.
In addition to her academic pursuits, she heads the Sinhgad Data Centre, where she leads initiatives in technology solutions, institutional website development, and identity and access management systems. A member of IEEE and the Engineering Council of India, Dr. Singh continues to contribute significantly to academia, research, and industry collaboration.
Valentina Emilia Balas is a distinguished academician and globally recognized researcher in the field of intelligent systems and applied software engineering. She serves as a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She earned her Ph.D. Cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara, reflecting her strong academic foundation and research excellence.
With an exceptional research portfolio, Dr. Balas has authored over 400 papers in reputed international journals and conferences, establishing herself as a leading contributor to the advancement of modern computational techniques. Her primary research interests include Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, and Modelling and Simulation-areas that are pivotal to emerging technological innovations.
Dr. Balas holds prominent editorial positions as the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE). She is also an active member of editorial boards for several prestigious journals.
In addition, she serves as an expert evaluator for national and international research projects and doctoral theses, contributing significantly to the global academic and research community through her expertise and leadership.
Content
1. Overview of Fuzzy Concepts and Decision-Making in Risk Management 2. Algorithms and Evaluation Processes in Fuzzy Optimization 3. Fuzzy Optimization in Decision Making: Evolution and Current Trends 4. Application of Risk Management across Various Industries 5. Optimizing Liquidity Risk Management: A Hybrid Approach Using Modified Entropy and Goal Programming 6. Portfolio Selection Using Fuzzy Decision Making and Optimization Techniques 7. Multi-Objective Portfolio Selection Using Extended Fuzzy Decision-Making Techniques 8. Risk Management for Accessibility and Inclusion using Fuzzy Decision-Making Techniques 9. Future Directions in Fuzzy Decision-Making and Risk Management
