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Fuzzy rule interpolation for multidimensional input spaces in determining d50c of hydrocyclones
Journal article   Open access   Peer reviewed

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

K.W. Wong, C.C. Fung, H. Eren and T. Gedeon
IEEE Transactions on Instrumentation and Measurement, Vol.52(6), pp.1865-1869
2003
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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.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
7 Engineering & Materials Science
7.139 Energy & Fuels
7.139.1755 Cyclone Separators
Web Of Science research areas
Engineering, Electrical & Electronic
Instruments & Instrumentation
ESI research areas
Engineering
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