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Multi-Criteria Decision-Making and Optimum Design with Machine Learning
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As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.

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Produktbeschreibung
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.
Autorenporträt
Tien V.T. Nguyen, a member of the IEEE, is a highly accomplished individual with an impressive educational background. He obtained a master's degree in mechanical engineering and linguistics from prestigious institutions such as Viet Nam National University Ho Chi Minh City, Bach Khoa University, and HCMC University of Social Sciences and Humanities in 2012 and 2020, respectively. Additionally, he holds a Ph.D. in industrial engineering and management from the National Kaohsiung University of Science and Technology in Taiwan. Throughout his career, Tien has made significant contributions to his field, having published over 61 journal papers and conference papers. He has also served as a reviewer for more than 75 SCI/Scopus Journals, providing over 1010 review reports. Furthermore, he has acted as an Academic Editor for several Q1 Journals, handling over 65 scientific manuscripts. Tien's professional experience extends beyond academia, as he has studied and worked in various countries including South Korea, Thailand, Russia, and Taiwan. Currently, he serves as a Lecturer at the Industrial University of Ho Chi Minh City in Vietnam. His areas of expertise include machine learning (AI), compliant mechanisms optimization design, numerical computation, MCDM, and Supply chain management. Tien's research has had a significant impact on his field, as evidenced by his Scopus H-index of 17 and 646 citations as of April 2024. Nhut T. M. Vo, a member of the IEEE, is a versatile professional with a diverse background. She received her M.Sc. degree from the National Kaohsiung University of Science and Technology (NKUST), Taiwan, where she is currently pursuing a Ph.D. degree in industrial engineering and management. Her professional journey has taken her through various sectors, including banking, the jewelry industry, information technology, and e-commerce, enriching her understanding of different industries. She is also a self-publishing author with many books about lean management and other fields. Her research interests span various topics, including the Internet of Things, blockchain, cloud computing, machine learning (AI), green energy, logistics, e-commerce, and numerical computation. Van Chinh Truong is not just a Faculty of Mechanical Engineering at the Industrial University of Ho Chi Minh City, Vietnam, but a dedicated educator. Dr. Truong has also been actively involved in research and academia, having participated in several research projects. He has successfully developed and implemented various technologies, significantly contributing to the industry. But his true passion lies in inspiring and educating future generations of engineers, a commitment that shines through his work and contributions to the field of mechanical engineering. Van-Thu Nguyen is a lecturer at Ho Chi Minh University of Technology and Education in Vietnam. He has a Ph.D. from the National Kaohsiung University of Science and Technology, Taiwan, and has published over 50 SCIE journal papers. His areas of expertise include manufacturing material science and mechanical processing. He is a highly respected researcher and educator in his field.