Spatial dependence-based fuzzy regression clustering

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dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.contributor.authorTutmez, Bulent
dc.date.accessioned2024-08-04T20:35:37Z
dc.date.available2024-08-04T20:35:37Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractFuzzy clustering based regression analysis is a novel hybrid approach to capture the linear structure while considering the classification structure of the measurement. Using the concept that weights provided via the fuzzy degree of clustering, some regression models have been proposed in literature. In these models, membership values derived from clustering or some weights obtained from geometrical functions are employed as the weights of regression system. This paper addresses a weighted fuzzy regression analysis based on spatial dependence measure of the memberships. By the methodology presented in this paper, the relative weights are used in fuzzy regression models instead of direct membership values or their geometrical transforms. The experimental studies indicate that the spatial dependence based analyses yield more reliable results to show the correlation of the independent variables into the dependent variable. In addition, it has been observed that spatial dependence based models have high estimation and generalization capacities. (C) 2011 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK); COST (European Cooperation in Science and Technology) Action [IC0702]en_US
dc.description.sponsorshipThis research was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) and COST (European Cooperation in Science and Technology) Action IC0702. The author would like to extend his appreciation to anonymous reviewers and the Editor in Chief for their constructive comments.en_US
dc.identifier.doi10.1016/j.asoc.2011.09.012
dc.identifier.endpage13en_US
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-81155123545en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2011.09.012
dc.identifier.urihttps://hdl.handle.net/11616/95487
dc.identifier.volume12en_US
dc.identifier.wosWOS:000296986100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy clusteringen_US
dc.subjectWeighted regressionen_US
dc.subjectSpatial dependenceen_US
dc.subjectCumulative semimadogramen_US
dc.titleSpatial dependence-based fuzzy regression clusteringen_US
dc.typeArticleen_US

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