Fuzzy Hierarchical Model for Risk Assessment (PDF)
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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.
Dr. Xiaojun Wang joined the School of Economics, Finance and Management of the University of Bristol as a lecturer in management in September 2011. Before that, he worked at Norwich Business School of the University of East Anglia as the lecturer in supply chain management for two years. He obtained his PhD from the University of Liverpool, where he developed an approach to improve food supply chain performance through integration of traceability system with operations management decisions. In recent years,Xiaojun's main research focuses on provision of new business models to support decision making process through the analytical modeling approach. For example, he has been conducting
- Autoren: Hing Kai Chan , Xiaojun Wang
- 2013, 2013, 169 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1447150430
- ISBN-13: 9781447150435
- Erscheinungsdatum: 11.04.2013
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- Dateiformat: PDF
- Größe: 4.72 MB
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