Fuzzy Knowledge-Based Model for Prediction of Soil Loosening and Draft Efficiency in Tillage

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dc.contributor.authorMarakoğlu, Tamer
dc.contributor.authorÇarman, Kazım
dc.date.accessioned2020-03-26T17:48:52Z
dc.date.available2020-03-26T17:48:52Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractA knowledge-based system for assessing soil loosening and draft efficiency in tillage is presented The knowledge-based system was built through expert opinion elicitation and available scientific data using fuzzy logic It is expected that such a non-linear relationship includes some uncertainties A fuzzy inference system employing fuzzy If-Then rules has an ability to deal with ill-defined and uncertain systems. Compared with traditional approaches, fuzzy logic is more efficient in linking the multiple inputs to a single output in a non-linear domain. The main purpose of this study is to investigate the relationship between cultivator shares working parameters to soil loosening and draft efficiency, and to illustrate how fuzzy expert system might play an important role in prediction of these. Experimental values were taken in soil bin The trials were conducted in different working depths and forward velocities of cultivator shares. In this paper, a sophisticated intelligent model, based on Mamdam approach fuzzy modeling principles, was developed to predict the changes in soil loosening and draft efficiency of tool. The fuzzy model consists of 25 rules In this research, a Mamdam max-min inference for inference mechanism and the center of gravity (aneroid) defuzzifier formula method for defuzzification were used as these operators assure a linear interpolation of the output between the rules. The verification of the proposed model is achieved via various numerical error criterias. For all parameters, the relative error of predicted values was found to be less than the acceptable limits (10%).en_US
dc.identifier.citationMarakoğlu, T., Çarman, K., (2010). Fuzzy Knowledge-Based Model for Prediction of Soil Loosening and Draft Efficiency in Tillage. Journal of Terramechanics, (47), 173-175. Doi: 10.1016/j.jterra.2009.10.001
dc.identifier.doi10.1016/j.jterra.2009.10.001en_US
dc.identifier.endpage178en_US
dc.identifier.issn0022-4898en_US
dc.identifier.issn1879-1204en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage173en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.jterra.2009.10.001
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24953
dc.identifier.volume47en_US
dc.identifier.wosWOS:000278707500005en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorMarakoğlu, Tamer
dc.institutionauthorÇarman, Kazım
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofJournal of Terramechanicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleFuzzy Knowledge-Based Model for Prediction of Soil Loosening and Draft Efficiency in Tillageen_US
dc.typeArticleen_US

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