Risk Management Strategies Using Fuzzy Optimization Techniques, (Hardcover)

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Management number 238836244 Release Date 2026/07/11 List Price US$60.00 Model Number 238836244
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<p>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.</p><ul> <li>Integrates finance, management, mathematics, information technology, and engineering to enhance risk assessment.</li> <li>Includes case studies on credit risk assessment, portfolio optimisation, supplier selection, and environmental impact analysis.</li> <li>Provides frameworks for addressing ambiguity in data-driven decision-making environments.</li> <li>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.</li> </ul><p>This book is a valuable resource for students, researchers, and professionals seeking to improve decision-making under uncertainty in finance, management, and engineering.</p>

  • Risk Management Strategies Using Fuzzy Optimization Techniques, (Hardcover)
  • Author: Kandarp Vidyasagar
  • ISBN: 9781041109723
  • Format: Hardcover
  • Publication Date: 2026-11-03
  • Page Count: 264
Book format Hardcover
Fiction/nonfiction Non-Fiction
Genre Textbooks
Publication date November, 2026
Pages 264
Subgenre Applied
Series title No Series
Number in series 0
Edition 1
Publisher CRC Press
Language English
Edu focus Mathematics, Engineering
Educational level General
Is collectible N
Binding type Case Binding
Recording time 0 min
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 6.13 x 6.00 x 9.19 in
Assembled product weight 1.25 lb
Bisac subject heading Mathematics

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