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Fuzzy rule interpolation for multidimensional input spaces in determining d50c of hydrocyclones

Wong, K.W., Fung, C.C., Eren, H. and Gedeon, T. (2003) Fuzzy rule interpolation for multidimensional input spaces in determining d50c of hydrocyclones. IEEE Transactions on Instrumentation and Measurement, 52 (6). pp. 1865-1869.

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    Link to Published Version: http://dx.doi.org/10.1109/TIM.2003.820489
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    Abstract

    Fuzzy rule-based systems have been very popular in many engineering applications. In mineral engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the determination model in predicting the d50c of hydrocyclones. However, when generating fuzzy rules from the available information, it may result in a sparse fuzzy rule base. The use of more than one input variable is also common in hydrocyclone data analysis. This paper examines the application of fuzzy interpolation to resolve the problems using sparse fuzzy rule bases, and to perform analysis of fuzzy interpolation in multidimensional input spaces.

    Publication Type: Journal Article
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: (c) 2003 IEEE.
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/525
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