Fuzzy logic model for cotton grading

This paper describes the applications of Fuzzy Logic to cotton grading. In order to improve the accuracy obtained by human experts and available testing instruments, this decision making tool will offer a new approach to classify ideal, excellent, good, average, below average and poor quality of cotton. Various quality features like length, strength, maturity, fineness, trash percentage and colour have been taken in to consideration and prepared fuzzy inference system to grade cotton into the categories such as ideal, excellent, good, average, below average and poor.