Angličtina
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.
