Fuzzy Hierarchical Model for Risk Assessment

Principles, Concepts, and Practical Applications

  • Hing Kai Chan
  • Xiaojun Wang

Table of contents

  1. Front Matter
    Pages i-vii
  2. Hing Kai Chan, Xiaojun Wang
    Pages 1-5
  3. Hing Kai Chan, Xiaojun Wang
    Pages 7-23
  4. Hing Kai Chan, Xiaojun Wang
    Pages 25-43
  5. Hing Kai Chan, Xiaojun Wang
    Pages 89-114
  6. Hing Kai Chan, Xiaojun Wang
    Pages 155-160
  7. Back Matter
    Pages 161-169

About this book

Introduction

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.

Keywords

Fuzzy Hierarchical Model Multi-criteria Decision-Making Qualitative and Quantitative Risk Factors Risk Assessment and Management Soft Computing

Authors and affiliations

  • Hing Kai Chan
    • 1
  • Xiaojun Wang
    • 2
  1. 1., Norwich Business SchoolUniversity of East AngliaNorwichUnited Kingdom
  2. 2., Department of ManagementUniversity of BristolBristolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5043-5
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-5042-8
  • Online ISBN 978-1-4471-5043-5
  • About this book
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