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Chan, Hing Kai; Wang, Xiaojun - Fuzzy Hierarchical Model for Risk Assessment - 9781447150428 - V9781447150428
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Fuzzy Hierarchical Model for Risk Assessment

€ 127.58
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Description for Fuzzy Hierarchical Model for Risk Assessment Hardcover. This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more. Num Pages: 169 pages, 37 black & white tables, biography. BIC Classification: KJT; TGPR; UYQ. Category: (P) Professional & Vocational. Dimension: 242 x 162 x 17. Weight in Grams: 450.

Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information.

 

This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well.

 

Supported by an extensive literature review, Fuzzy Hierarchical ... Read more comprehensively introduces a new method for project managers across all industries as well as researchers in risk management.

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Product Details

Format
Hardback
Publication date
2013
Publisher
Springer London Ltd United Kingdom
Number of pages
180
Condition
New
Number of Pages
169
Place of Publication
England, United Kingdom
ISBN
9781447150428
SKU
V9781447150428
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Chan, Hing Kai; Wang, Xiaojun
Dr. Hing Kai Chan joined the Norwich Business School of the University of East Anglia in September 2007 and is now a Senior Lecture in Operations and Supply Chain Management. He has been conducting research with the applications of soft computing like fuzzy logic for several years. He has extended his research to cover supply chain management in recently years ... Read more

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