Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/1751
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dc.creatorLiu, Shaofeng
dc.creatorDelibašić, Boris
dc.creatorButel, L.
dc.creatorHan, Xiao
dc.date.accessioned2023-05-12T11:12:23Z-
dc.date.available2023-05-12T11:12:23Z-
dc.date.issued2017
dc.identifier.issn0263-5577
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/1751-
dc.description.abstractDecision support systems (DSS), defined as an interactive computer-based system to support solving decision problems, have been developed and widely applied in real-world decisions. DSS have evolved from supporting individual decisions to supporting groups and then to supporting organisation-wide decisions. In response to the new issue identified within human decision-making process, many scholars and researchers have invested a significant amount of effort to search for solutions, which resulted in the emergence of knowledge-based systems (KBS), which is also termed as expert systems in America. Since 1990s, KBS and expert systems have been playing an important role in the new generation of DSS, which has led to the development of knowledge-based decision support systems (KB-DSS).en
dc.publisherEmerald Group Publishing Ltd.
dc.rightsopenAccess
dc.sourceIndustrial Management and Data Systems
dc.titleEditorialen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage1322
dc.citation.issue7
dc.citation.other117(7): 1318-1322
dc.citation.rankM21
dc.citation.spage1318
dc.citation.volume117
dc.identifier.doi10.1108/IMDS-04-2017-0137
dc.identifier.fulltexthttp://prototype2.rcub.bg.ac.rs/bitstream/id/444/1747.pdf
dc.identifier.rcubconv_3519
dc.identifier.scopus2-s2.0-85027377652
dc.identifier.wos000407448800001
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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