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A fuzzy system modeling algorithm for data analysis and approximate reasoning

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Kılıç, Kemal and Sproule, Beth A. and Türksen, I. Burhan and Naranjo, Claudio A. (2004) A fuzzy system modeling algorithm for data analysis and approximate reasoning. Robotics and autonomous systems, 49 (3-4). pp. 173-180. ISSN 0921-8890

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Official URL: http://dx.doi.org/10.1016/j.robot.2004.09.005

Abstract

In this paper a new fuzzy system modeling algorithm is introduced as a data analysis and approximate reasoning tool. The performance of the proposed algorithm is tested in two different data sets and compared with some well-known algorithms from the literature. In the comparison two benchmark data sets from the literature, namely the automobile mpg (miles per gallon) prediction and Box and Jenkins gas-furnace data are used. The comparisons demonstrated that the proposed algorithm can be successfully applied in system modeling.

Item Type:Article
Uncontrolled Keywords:fuzzy system; data analysis; approximate reasoning
Subjects:Q Science > QA Mathematics
ID Code:418
Deposited By:Kemal Kılıç
Deposited On:31 Dec 2004 02:00
Last Modified:22 Oct 2019 13:52

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