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Fuzzy Hierarchical Model for Risk Assessment

FUZZY HIERARCHICAL MODEL FOR RISK ASSESSMENT

Information Technology

Computing & Information Technology

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Binding Format

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B2B GT

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
1: Introduction.
2: Risk Assessment.
3: Hierarchical Model in Decision Making.
4: An Integrated Fuzzy Approach for Aggregative Supplier Risk Assessment.
5: Fuzzy AHP Approach for Analysing Risk Rating of Environmentally Friendly Product Designs.
6: Fuzzy Extent Analysis for Food Risk Assessment.
7: A Hierarchical Fuzzy TOPSIS Approach for the Risk Assessment of Green Supply Chain Implementation.
8: Fuzzy-ANP Approach for Environmental Risk Assessment of Product Designs.
9: Conclusions and Future Research Directions.
Appendix A: Introduction to Life-Cycle Assessment (LCA).
Appendix B: Pairwise Comparisons of the Example in Chapter 3.

Fuzzy Hierarchical Model for Risk Assessment.css-1p8rvzy{position:absolute;padding-left:8px;}

Fuzzy Hierarchical Model for Risk Assessment