Maryam Amiri, Hamid Tavakolipour and Sepideh Gharehyakheh
Mamdani fuzzy inference system (MFIS) was used to model melon drying in a microwave dryer. Melon pieces 3, 5 and 10 mm thick, were dried in a microwave dryer at 200 and 400 w in triplicate. For data analysis MFIS in MATLAB software was used with 58 if – then rules and trigonometric functions with three drying times as inputs and thickness of melon pieces and microwave power for prediction of moisture ratio (MR) as outputs. Given the high correlation coefficient, 0.98 and mean error percentage 7.7%, the obtained experimental and theoretical data showed great correlation, consequently it could be said that MFIS was a suitable and reliable method for modeling and predicting the kinetics of dried melon pieces and the like products.
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