Fuzzy Hierarchical Model for Risk Assessment
Principles, Concepts, and Practical Applications
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Author
Contributions
- Wang, Xiaojun - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer London, London, United Kingdom
Language
English
Word Count
43,250 words, Guess
Page Count
173 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivefuzzyhierarchica00chan
- ISBN-139781447150435
- ISBN-101447150430
- Better World Books9781447150435
- Open LibraryOL27040509M
Classifications
- DDC658.56
- LCCTA169.7
- LCCT55-T55.3
and 2 more
- LCCTA403.6
- LCCTA1-2040
Description
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 Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management.
Subjects
Other Editions
- Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications
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