FUZZY LINEAR REGRESSION ANALYSIS OF CELLULOSE HYDROLYSIS

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Abstract
The dependence of enzymatic hydrolysis rate on the structural features of lignocellulosics, such as specific surface area, crystallinity index, and lignin content, has been examined. A model for this relationship has been proposed and linear regression based on fuzzy set theory, or the so-called fuzzy linear regression has been employed for estimation of model parameters. The resultant fuzzy model appears well suited for representing complex or ill-conceived processes, e.g., biological processes. This fuzzy model is essentially a quantitative translation of the human perception of the process.

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