Fuzzy Hierarchical Model for Risk Assessment
Subtitle: Principles, Concepts, and Practical Applications
By: by Hing Kai Chan, Xiaojun Wang
Contributors: Wang, Xiaojun; SpringerLink (Online service)
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] :
Number of pages: 173
ISBN-13: 9781447150435
Subjects: Engineering; Quality Control, Reliability, Safety and Risk; Operation Research/Decision Theory; System safety; Computational intelligence; Operations research
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.
Table of contents: title: Hierarchical Model in Decision-Making; title: Multi-criteria Decision-Making for Risk Assessment; title: Fuzzy Hierarchical Model for Risk Assessment; title: Mathematical Formulation; title: Application in Product Design; title: Application in Fashion Supply Chain; title: Application in Food Supply Chain; title: Extension of the Hierarchical Model.