An algorithm for quantifying regionalized ore grades

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dc.authoridKaymak, Uzay/0000-0002-4500-9098
dc.authoridTERCAN, A.ERHAN/0000-0002-0393-4656
dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidKaymak, Uzay/A-3364-2008
dc.authorwosidTERCAN, A.ERHAN/G-5921-2013
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, B.
dc.contributor.authorTercan, A. E.
dc.contributor.authorKaymak, U.
dc.date.accessioned2024-08-04T20:30:47Z
dc.date.available2024-08-04T20:30:47Z
dc.date.issued2008
dc.departmentİnönü Üniversitesien_US
dc.description.abstractWe present a novel, hybrid algorithm for quantifying the ore grade variability that has central importance in ore reserve estimation. The proposed algorithm has three stages: (1) fuzzy clustering, (2) similarity measure, and (3) grade estimation. The method first considers data clustering, and then uses the clustering information for quantifying the ore grades by means of a cumulative point semimadogram function. The method provides a measure of similarity and gives an indication of the regional heterogeneity. In addition, grade estimations can be obtained at different levels of similarity using a weighting function, which is the standard regional dependence function (SRDF).en_US
dc.identifier.endpage90en_US
dc.identifier.issn0038-223X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-41849111997en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage83en_US
dc.identifier.urihttps://hdl.handle.net/11616/94500
dc.identifier.volume108en_US
dc.identifier.wosWOS:000254680300005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSouth African Inst Mining Metallurgyen_US
dc.relation.ispartofJournal of The South African Institute of Mining and Metallurgyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgradeen_US
dc.subjectfuzzy clusteringen_US
dc.subjectsimilarity measureen_US
dc.subjectpoint madogramen_US
dc.subjectweighting functionen_US
dc.titleAn algorithm for quantifying regionalized ore gradesen_US
dc.typeArticleen_US

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