Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/8248
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dc.rights.licenseopenAccess-
dc.contributor.authorPaunović, Marija -
dc.contributor.authorRalević N.-
dc.contributor.authorGajović V.-
dc.date.accessioned2020-09-19T15:11:45Z-
dc.date.available2020-09-19T15:11:45Z-
dc.date.issued2020-
dc.identifier.issn1330-3651-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/8248-
dc.description.abstract© 2020, Strojarski Facultet. All rights reserved. The complex logistics process involves numerous dynamic uncertainties and internal risks. Those risks alone or in interaction with other groups of risks can affect the entire system. This paper proposes the application of the new measure, c-credibility measure to the complex system such as logistic process. For this purpose, fuzzy logic system for risk assessments in logistic process is proposed. C-credibility selection through ranking is implemented in the simulation process with crh membership function definition on the fuzzy variable to calculate credibility value. Numerical analysis of the proposed approach with obtained results and the related discussion is presented.-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.sourceTehnicki Vjesnik-
dc.titleApplication of the C-credibility measure-
dc.typearticle-
dc.identifier.doi10.17559/TV-20200113093742-
dc.identifier.scopus2-s2.0-85079573977-
Appears in Collections:Faculty of Hotel Management and Tourism, Vrnjačka Banja

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