Ebook: Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications
- Tags: Quality Control Reliability Safety and Risk, Computational Intelligence, Operation Research/Decision Theory
- Year: 2013
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
this area.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.
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.
Content:
Front Matter....Pages i-vii
Introduction....Pages 1-5
Risk Assessment....Pages 7-23
Hierarchical Model in Decision Making....Pages 25-43
An Integrated Fuzzy Approach for Aggregative Supplier Risk Assessment....Pages 45-69
Fuzzy AHP Approach for Analysing Risk Rating of Environmentally Friendly Product Designs....Pages 71-88
Fuzzy Extent Analysis for Food Risk Assessment....Pages 89-114
A Hierarchical Fuzzy TOPSIS Approach for the Risk Assessment of Green Supply Chain Implementation....Pages 115-134
Fuzzy-ANP Approach for Environmental Risk Assessment of Product Designs....Pages 135-153
Conclusions and Future Research Directions....Pages 155-160
Back Matter....Pages 161-169
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.
Content:
Front Matter....Pages i-vii
Introduction....Pages 1-5
Risk Assessment....Pages 7-23
Hierarchical Model in Decision Making....Pages 25-43
An Integrated Fuzzy Approach for Aggregative Supplier Risk Assessment....Pages 45-69
Fuzzy AHP Approach for Analysing Risk Rating of Environmentally Friendly Product Designs....Pages 71-88
Fuzzy Extent Analysis for Food Risk Assessment....Pages 89-114
A Hierarchical Fuzzy TOPSIS Approach for the Risk Assessment of Green Supply Chain Implementation....Pages 115-134
Fuzzy-ANP Approach for Environmental Risk Assessment of Product Designs....Pages 135-153
Conclusions and Future Research Directions....Pages 155-160
Back Matter....Pages 161-169
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