About the Journal :
Experimental and Theoretical NANOTECHNOLOGY (ETN) abbreviated as Exp. Theo. NANOTECHNOLOGY is a multidisciplinary peer-reviewed and open access journal. It includes specialized research papers, short communications, reviews and selected conference papers in special issues on the characterization, synthesis, processing, structure and properties of different principles and applications of nanotechnology with focus on advantageous achievements and applications for the specialists in engineering, chemistry, physics, materials science and medicine. ETN covers and publishes all aspects of fundamental and applied researches of experimental and theoretical nanoscale technology dealing with materials synthesis, processing, nanofabrication, nanoprobes, spectroscopy, properties, biological systems, nanostructures, nanoelectronics, nano-optics, nano-mechanics, nanodevices, nanobiotechnology, nanomedicine, nanotoxicology within the scope of the journal. ETN aims to acquire the recent and outstanding researches for the benefit of the human being.
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.
Keywords: Electrospinning, Nanofibers, Fuzzy logic Membership function, Artificial intelligence.