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Risk Management Strategies Using Fuzzy Optimization Techniques.
・ISBN 978-1-041-10972-3 hard GB£ 124.99
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| 著者・編者 | Vidyasagar, Kandarp / Dwivedi, Rajiv Kumar / Singh, Chandrani / Balas, Valentina Emilia, |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 264 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-24980＞ |
解説
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.