LEADER 02762nam 2200517Ia 450 001 9910437772503321 005 20200520144314.0 010 $a1-4471-5043-0 024 7 $a10.1007/978-1-4471-5043-5 035 $a(OCoLC)840403008 035 $a(MiFhGG)GVRL6UWZ 035 $a(CKB)2670000000369969 035 $a(MiAaPQ)EBC1205279 035 $a(EXLCZ)992670000000369969 100 $a20130220d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aFuzzy hierarchical model for risk assessment $eprinciples, concepts, and practical applications /$fHing Kai Chan, Xiaojun Wang 205 $a1st ed. 2013. 210 $aLondon ;$aNew York $cSpringer$dc2013 215 $a1 online resource (vii, 169 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a1-4471-6074-6 311 $a1-4471-5042-2 320 $aIncludes bibliographical references. 327 $aHierarchical 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. 330 $aRisk 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. 606 $aRisk assessment$xMathematical models 606 $aEvaluation 615 0$aRisk assessment$xMathematical models. 615 0$aEvaluation. 676 $a368.01 676 $a368.015118 700 $aChan$b Hing Kai$01058419 701 $aWang$b Xiaojun$01750728 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437772503321 996 $aFuzzy hierarchical model for risk assessment$94185408 997 $aUNINA