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001440979 001__ 1440979
001440979 003__ OCoLC
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001440979 019__ $$a1285489067$$a1285558995$$a1285581475$$a1292518352$$a1294357644
001440979 020__ $$a9783030781521$$q(electronic bk.)
001440979 020__ $$a3030781526$$q(electronic bk.)
001440979 020__ $$z9783030781514$$q(print)
001440979 020__ $$z3030781518
001440979 0247_ $$a10.1007/978-3-030-78152-1$$2doi
001440979 035__ $$aSP(OCoLC)1285675507
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001440979 049__ $$aISEA
001440979 050_4 $$aT57.95
001440979 08204 $$a658.4/03$$223
001440979 24500 $$aMulti-criteria decision analysis for risk assessment and management /$$cJingzheng Ren, editor.
001440979 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440979 300__ $$a1 online resource (viii, 252 pages) :$$billustrations (some color)
001440979 336__ $$atext$$btxt$$2rdacontent
001440979 337__ $$acomputer$$bc$$2rdamedia
001440979 338__ $$aonline resource$$bcr$$2rdacarrier
001440979 347__ $$atext file
001440979 347__ $$bPDF
001440979 4901_ $$aIndustrial ecology and environmental management,$$x2730-6089 ;$$vvolume 1
001440979 500__ $$aIncludes index.
001440979 5050_ $$aRisk assessment: indicators and organizational models -- An integrated Bayesian BWM and classifiable TOPSIS model for risk assessment -- A modified risk prioritization approach using best-worst method -- Fuzzy Risk Assessment In the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability -- Assessment of COVID-19 transmission risk through fuzzy inference system; an application for mining activities -- Simulation Output Analysis for Risk Assessment and Mitigation -- Cause-Effect Analysis, Barriers Identification and Policy Implications for China's Energy Security -- Quantitative Risk Assessment and Management of Cash-in-Transit Vehicle Routing Problems -- Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China's Renewable Energy Development Fuzzy PROMETHEE -- Sustainability risks of resource-exhausted cities in China: A principal component analysis.
001440979 506__ $$aAccess limited to authorized users.
001440979 520__ $$aThis book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.
001440979 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 19, 2021).
001440979 650_0 $$aMultiple criteria decision making.
001440979 650_6 $$aDécision multicritère.
001440979 655_0 $$aElectronic books.
001440979 7001_ $$aRen, Jingzheng,$$eeditor$$0(orcid)0000-0002-9690-5183$$1https://orcid.org/0000-0002-9690-5183
001440979 77608 $$iPrint version:$$z3030781518$$z9783030781514$$w(OCoLC)1250304672
001440979 830_0 $$aIndustrial ecology and environmental management ;$$vv. 1.
001440979 852__ $$bebk
001440979 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-78152-1$$zOnline Access$$91397441.1
001440979 909CO $$ooai:library.usi.edu:1440979$$pGLOBAL_SET
001440979 980__ $$aBIB
001440979 980__ $$aEBOOK
001440979 982__ $$aEbook
001440979 983__ $$aOnline
001440979 994__ $$a92$$bISE