Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7754
Title: Type-2 fuzzy modeling for desulphurization of steel process
Authors: Zarandi, Mohammad Hossein Fazel
Türkşen, İsmail Burhan
Kasbi, O. Torabi
Keywords: type-2 fuzzy logic systems
type-2 membership functions
Gaussian mixture model
interpolation method
desulphurization
Issue Date: 2007
Publisher: Pergamon-Elsevier Science Ltd
Abstract: This paper presents a new type-2 fuzzy logic system model for desulphurization process of a real steel industry in Canada. The type-2 fuzzy logic system permits us to model rule uncertainties where every membership value of an element has a second order membership value of its own. In this paper, we propose an indirect method to create second order membership grades that are amplitudes of type-2 secondary membership functions, where the primary memberships are extracted by implementation of fuzzy clustering approach. In this research, Gaussian Mixture Model (GMM) is used for the creation of second order membership grades. Furthermore, a reduction scheme is implemented which results in type-1 membership grades. In turn, this leads to a reduction of the complexity of the system. Two methods are used for the estimation of the membership functions: indirect and direct methods. In the indirect method, the system uses an interpolation scheme for the estimation of the most appropriate membership functions. In the direct method, the system is tuned by an inference algorithm for the optimization of the main parametric system. In this case, the parameters are: Schweizer and Sklar t-norm and s-norm, combination of FATI and FITA inference approaches, and Yager defuzzification. Finally, the system model is applied to the desulphurization process of a real steel industry in Canada. It is shown that the proposed type-2 fuzzy logic system is superior in comparison to multiple regression and type-1 fuzzy logic systems in terms of robustness, and error reduction. (C) 2005 Elsevier Ltd. All rights reserved.
URI: https://doi.org/10.1016/j.eswa.2005.11.023
https://hdl.handle.net/20.500.11851/7754
ISSN: 0957-4174
1873-6793
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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