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dc.creatorPocajt, Viktor
dc.creatorŠevarac, Zoran
dc.creatorKovačević, Ana
dc.date.accessioned2020-01-08T16:45:25Z
dc.date.available2020-01-08T16:45:25Z
dc.date.issued2009
dc.identifier.issn0886-9383
dc.identifier.urihttps://rhinosec.fb.bg.ac.rs/handle/123456789/38
dc.description.abstractThis paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.en
dc.publisherJohn Wiley & Sons Ltd, Chichester
dc.rightsrestrictedAccess
dc.sourceJournal of Chemometrics
dc.subjectmetal identificationen
dc.subjectmetal compositionen
dc.subjectmetal propertiesen
dc.subjectspectrometryen
dc.titleSmartMetals: a new method for metal identification based on fuzzy logicen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractШеварац, Зоран; Ковачевић, Aна; Поцајт, Виктор;
dc.citation.volume23
dc.citation.issue11-12
dc.citation.spage555
dc.citation.epage561
dc.citation.other23(11-12): 555-561
dc.citation.rankM21
dc.identifier.wos000273586400001
dc.identifier.doi10.1002/cem.1251
dc.identifier.scopus2-s2.0-70450177947
dc.type.versionpublishedVersion


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