Application of multiple imputation using fuzzy archaeological data

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dc.contributor.authorTuncalı Yaman T.
dc.date.accessioned2024-03-13T10:01:03Z
dc.date.available2024-03-13T10:01:03Z
dc.date.issued2020
dc.departmentİstanbul Beykent Üniversitesien_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- -- 228529en_US
dc.description.abstractThis research offers a fuzzy approach to one of the missing data completion procedures, the Markov Chain Monte Carlo-based Multiple Imputation (MI) method. The implication of the method was processed through the data of 483 iron and bronze arrowheads dating back to Archaic Period (6th Century BC), gathered in Nif Mountain Excavation and Research Project located in İzmir, Western Anatolia region of Turkey, between the years 2006 and 2017. The main reason for selecting a data set based on the measurement results of archaeological gatherings is the uncertainty of the metric measurements due to the nature of the objects, such as corrosion, abrasion and decay. The fuzzification of MI as a Bayesian approach was applied through Fuzzy Bayesian Inference. The success of the offered approach is assessed by the assignment of right percentage values resulting from the application of the categorization model on the data set completed with Fuzzy MI, following the data completion process by the standard MI Method on the same data set. The categorization model above is based on the expert-based typology results, rooting from the visual similarities of the findings. © 2020, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-23756-1_40
dc.identifier.endpage329en_US
dc.identifier.isbn9783030237554
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85069527321en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage322en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-23756-1_40
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2939
dc.identifier.volume1029en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFully conditional specificationen_US
dc.subjectFuzzy numbersen_US
dc.subjectMissing value analysisen_US
dc.subjectMultiple imputationen_US
dc.titleApplication of multiple imputation using fuzzy archaeological dataen_US
dc.typeConference Objecten_US

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