Modeling the fermentation process is considered a challenging and complex problem in wide range of industries. The complexity of the problem is driven by the need of efficient, accurate, not expensive, and reliable computing models. In this paper, we apply a Takagi-Sugeno fuzzy technique for modeling the lipase activity production based on Temperature, pH, Inoculum, Time and Agitation as input variables of 26 experiments. The accuracy of the developed fuzzy model is measured and compared with conventional regression model. The fuzzy based model showed promising prediction results.

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