Choose the suitable fuzzy membership function in prediction of diameter of nanofibers produced from electrospinning using fuzzy logic system as artificial intelligence technique

Abstract

Fuzzy logic System is used to predict some parameters. In this system the crisp data were converted into fuzzy data using membership function. There are many members ship function used in fuzzy system to fuzzify data. In this search, nanofibers were obtained by electrospinning process and scanned by SEM.

Nanofiber’s diameters were predicted as output of the system using all membership functions in fuzzy system by Matlab. The parameters of electrospinning process were constant except electrospinning room temperature. A comparison has been made among the predicted data using different membership functions. One membership function had been selected based on minimum error in prediction of data. It had been cleared that the best membership function was Gauss function.