Fuzzy Hierarchical Model for Risk Assessment [electronic resource] : Principles, Concepts, and Practical Applications / by Hing Kai Chan, Xiaojun Wang.Material type: TextLanguage: English Publisher: London : Springer London : Imprint: Springer, 2013Description: VII, 173 p. 31 illus., 11 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781447150435Subject(s): Engineering | System safety | Operations research | Engineering | Quality Control, Reliability, Safety and Risk | Computational Intelligence | Operation Research/Decision TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 658.56 LOC classification: TA169.7T55-T55.3TA403.6Online resources: Click here to access online
Hierarchical Model in Decision-Making -- Multi-criteria Decision-Making for Risk Assessment -- Fuzzy Hierarchical Model for Risk Assessment -- Mathematical Formulation -- Application in Product Design -- Application in Fashion Supply Chain -- Application in Food Supply Chain -- Extension of the Hierarchical Model.
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.