Ali Sadollah

University of Science and Culture

Ali Sadollah received his BS degree in mechanical engineering, solid states, from Azad University, Semnan Branch, Iran in 2007 and MS degree in mechanical engineering, applied mechanics, from the University of Semnan, Semnan, Iran in 2010. He obtained his Ph.D. at the Faculty of Engineering, the University of Malaya, Kuala Lumpur, Malaysia in 2013. Also, he has served as a postdoctoral research fellow for more than 2 years at Korea University, Seoul, South Korea. In 2016 for a year, he has served as a research staff at Nanyang Technological University, Singapore. Afterward, he was a guest assistant professor at the Sharif University of Technology, Tehran, Iran. Currently, he is an assistant professor at the department of mechanical engineering at the University of Science and Culture, Tehran, Iran. His research interests include algorithm development, optimization, and metaheuristics, applications of soft computing methods in engineering, artificial neural networks, computational solid mechanics, and cold roll forming process.

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Latest work with IntechOpen by Ali Sadollah

Fuzzy logic models can be used to demonstrate human decision making in complex situations, and can therefore be an important tool in examining natural complexity. Moreover, fuzzy logic can be exploited to predict chaotic behaviors. But why is fuzzy logic so valuable? The idea of fuzzy logic has been around since 1965, and since its introduction thousands of applications of fuzzy logic have been implemented in industry, medicine, and even economic applications and patents. How did this invaluable theory achieve such great success? This book aims to compare well-known and well-used membership functions to demonstrate how to select the best membership functions and show when and why to utilize them. This book also demonstrates how different fields of studies utilize fuzzy logic showing its wide reach and relevance.

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