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NeXCLass:A decision support for non-ordered multicriteria classification

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dc.contributor.author Rigopoulos, G en
dc.contributor.author Askounis, DT en
dc.contributor.author Metaxiotis, K en
dc.date.accessioned 2014-03-01T01:33:55Z
dc.date.available 2014-03-01T01:33:55Z
dc.date.issued 2010 en
dc.identifier.issn 0219-6220 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20618
dc.subject Decision support systems en
dc.subject Multicriteria decision analysis en
dc.subject Nominal classification en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Operations Research & Management Science en
dc.subject.other PREFERENCE DISAGGREGATION en
dc.subject.other MEDICAL APPLICATION en
dc.subject.other SORTING PROCEDURE en
dc.subject.other RISK-ASSESSMENT en
dc.subject.other METHODOLOGY en
dc.subject.other CRITERIA en
dc.subject.other ALTERNATIVES en
dc.subject.other INFORMATION en
dc.title NeXCLass:A decision support for non-ordered multicriteria classification en
heal.type journalArticle en
heal.identifier.primary 10.1142/S0219622010003622 en
heal.identifier.secondary http://dx.doi.org/10.1142/S0219622010003622 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract This paper presents NexClass, a Decision Support System (DSS) which supports classification of alternatives into predefined non-ordered categories according to their performance on evaluation criteria and implements a novel classification algorithm based on multicriteria analysis and outranking relations. More detailed, assignment to classes is based on the concept of non-exclusivity, which defines at what degree an alternative can be included in a specific category. For each category, a threshold is defined by the decision maker, which indicates its limit with respect to the evaluation criteria. Alternatives are next evaluated according to the criteria and non-excluding degrees are calculated for each category. Finally, an alternative is assigned to the category for which non-excluding degree gets the lowest value. NexClass DSS implements the above classification algorithm, providing a user-friendly interface, which supports decision makers to formulate and solve classification problems. In addition to the methodology and the DSS, we present a real world application at a classification problem in banking environment. Our findings derived from evaluation experiments in the banking environment provide valid evidence that the proposed methodology and the DSS effectively support decision makers in classification decisions. © 2010 World Scientific Publishing Company. en
heal.publisher WORLD SCIENTIFIC PUBL CO PTE LTD en
heal.journalName International Journal of Information Technology and Decision Making en
dc.identifier.doi 10.1142/S0219622010003622 en
dc.identifier.isi ISI:000274916400004 en
dc.identifier.volume 9 en
dc.identifier.issue 1 en
dc.identifier.spage 53 en
dc.identifier.epage 79 en


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