Risk Management Strategies Using Fuzzy Optimization Techniques

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.