Subtract clustering, neural network, most neighbor principle and regulation for extracted rules are combined
to extract fuzzy rules from process data. During the operation of raw slurry blending process, the quality indices of raw
slurry is kept in their targeted ranges. The proposed method is applied to the operation control of the raw slurry blending
process. Application results show that the extracted fuzzy rules not only have good completeness and interpretation, but also
can realize the operation control objective of the raw slurry blending process.