DC FieldValueLanguage
dc.contributor.authorJanjić, Aleksandar-
dc.contributor.authorStanković, Miomir-
dc.contributor.authorVelimirović, Lazar-
dc.date.accessioned2020-07-03T09:58:08Z-
dc.date.available2020-07-03T09:58:08Z-
dc.date.issued2015-
dc.identifier.isbn978-3-319-16828-9-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/3743-
dc.description.abstractThis chapter describes the use of influence diagrams in the risk assessment and proposes their extension to the group decision making using fuzzy logic, sequential approach and multi-criteria evaluation. Instead of classical Bayesian networks using conditional probability tables that are often difficult or impossible to obtain, a verbal expression of probabilistic uncertainty, represented by fuzzy sets is used in this approach. Influence diagrams are modeling the multistage decision processes and the interrelations among different chance and value nodes as well, enabling the iterative approach to the risk assessment. After the first, independent assessment of the group of experts, this preliminary risk grade is the input in the second step where the adapted risk grade has been adopted based on known evaluations, and interaction among decision makers. The different risk components and decision maker’s attitudes are considered by ordered weighted averages (OWA) operators. This inference engine is illustrated through the assessment of risk caused by improper drug storage in pharmaceutical cold chain by the group of experts in the iterative assessment process.-
dc.publisherSpringer Link-
dc.relationResearch and development of energy efficient and environment friendly polygeneration systems based on renewable energy sources utilization-
dc.relationDevelopment of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education-
dc.subjectGroup decision making | Influence diagrams | OWA | Risk-
dc.titleMulti-criteria Influence Diagrams – A Tool for the Sequential Group Risk Assessment-
dc.typeBook Chapter-
dc.relation.publicationGranular Computing and Decision-Making (Interactive and Iterative Approaches), Studies in Big Data-
dc.identifier.doi10.1007/978-3-319-16829-6_7-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage165-
dc.relation.lastpage193-
dc.description.rankM13-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeBook Chapter-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0001-8737-1928-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/044006e.php-
crisitem.project.fundingProgramNATIONAL HEART, LUNG, AND BLOOD INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL HEART, LUNG, AND BLOOD INSTITUTE/5R01HL044006-04-
Show simple item record

Page view(s)

56
checked on May 9, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.