The 3d fcrm modeling in miles per gallon of cars

Rusiman, Mohd Saifullah and Adnan, Robiah and Nasibov, Efendi N. (2008) The 3d fcrm modeling in miles per gallon of cars. In: International Graduate on Engineering and Science (IGCES'08), 23-24 December 2008, Universiti Teknologi Malaysia, Skudai Campus, Johor Bahru, Malaysia .



The new fuzzy c-regression modeling (FcRM) are widely used in order to fit switching regression models. Minimization of objective function yields immediate estimates for different c regression models. The functions of model, estimation technique and results are discussed in this paper. A case study in miles per gallon (MPG) of different cars using the FcRM modeling was carried out. The 3D graph for significant independent variables for FcRM clustering is shown in this study. The comparison between multiple linear regression and FcRM modeling were done. The mean square error (MSE) was used to find the better model. It was found that the FcRM modeling with lower MSE to be the better model and has great capability in predicting the dependent variable effectively.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:course in fuzzy systems and control
Subjects:H Social Sciences > H Social Sciences (General)
Divisions:Faculty of Science, Technology and Human Development > Department of Science and Mathematics
ID Code:210
Deposited By:Suhaimi Mohd. Sukor
Deposited On:27 Jan 2010 15:29
Last Modified:15 Apr 2015 15:30

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