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dc.contributor.authorStanojević, Bogdanaen_US
dc.contributor.authorDzitac, Simonaen_US
dc.contributor.authorDzitac, Ioanen_US
dc.date.accessioned2020-09-24T07:44:22Z-
dc.date.available2020-09-24T07:44:22Z-
dc.date.issued2020-
dc.identifier.issn0219-6220-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/4136-
dc.description.abstractThis study surveys the use of fuzzy numbers in classic optimization models, and its effects on making decisions. In a wide sense, mathematical programming is a collection of tools used in mathematical optimization to make good decisions. There are many sectors of economy that employ it. Finance and government, logistics and manufacturing, the distribution of the electrical power are worth to be first mentioned. When real life problems are modeled mathematically, there is always a trade-off between model’s accuracy and complexity. By this survey, we aim to present in a concise form some mathematical models from the literature together with the methods to solve them. We will focus mainly on fuzzy fractional programming problems. We will also refer to but not describe in detail the multi-criteria decision-making problems involving fuzzy numbers and linear fractional programming models.en_US
dc.publisherWorld Scientificen_US
dc.relation.ispartofInternational Journal of Information Technology & Decision Makingen_US
dc.subjectFuzzy numbers | Fuzzy optimization | Linear fractional programmingen_US
dc.titleFuzzy Numbers and Fractional Programming in Making Decisionsen_US
dc.typeArticleen_US
dc.identifier.doi10.1142/S0219622020300037-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Artsen_US
dc.relation.firstpage1123-
dc.relation.lastpage1147-
dc.relation.issue4-
dc.relation.volume19-
dc.description.rankM21-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0003-4524-5354-
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