In most control and engineering applications, the use of fuzzy system as a way to improve the human-computer interaction has becoming popular. This paper reports on the use of fuzzy system in mineral processing specifically in determining the parameter d50c of hydrocyclone. However, with the input-output data provided to build the fuzzy rule base, it normally results in a sparse fuzzy rule base. This paper examines the use of the improved multidimensional alpha-cut based (IMUL) fuzzy interpolation technique to improve the prediction capability of the sparse fuzzy rule base.
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