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Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications

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...

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Detalles Bibliográficos
Autores principales: Chan, Hing Kai, Wang, Xiaojun
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4471-5043-5
http://cds.cern.ch/record/1551986
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author Chan, Hing Kai
Wang, Xiaojun
author_facet Chan, Hing Kai
Wang, Xiaojun
author_sort Chan, Hing Kai
collection CERN
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.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
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spelling cern-15519862021-04-21T22:40:18Zdoi:10.1007/978-1-4471-5043-5http://cds.cern.ch/record/1551986engChan, Hing KaiWang, XiaojunFuzzy hierarchical model for risk assessment: principles, concepts, and practical applicationsEngineeringRisk 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.Springeroai:cds.cern.ch:15519862013
spellingShingle Engineering
Chan, Hing Kai
Wang, Xiaojun
Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title_full Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title_fullStr Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title_full_unstemmed Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title_short Fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
title_sort fuzzy hierarchical model for risk assessment: principles, concepts, and practical applications
topic Engineering
url https://dx.doi.org/10.1007/978-1-4471-5043-5
http://cds.cern.ch/record/1551986
work_keys_str_mv AT chanhingkai fuzzyhierarchicalmodelforriskassessmentprinciplesconceptsandpracticalapplications
AT wangxiaojun fuzzyhierarchicalmodelforriskassessmentprinciplesconceptsandpracticalapplications