http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Multi-criteria decision-making and optimum design with machine learning
1 online resource (xxix, 330 pages) : illustrations (some color)
"As the field of 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. This practical guide is intended for researchers, practitioners, and students interested in using Machine Learning and Multiple-Criteria Decision-Making techniques for optimum design"--
Innovations in technical methodologies -- advancing decision-making and optimization / Cong Truyen Duong, Thi Minh Nhut Vo, and Tien V.T. Nguyen -- Review of fuzzy systems for multi-criteria optimization tools : applications in engineering design / Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, and Abhijit Mohanty -- Optimizing technological parameters for milling the Ti-6Al-4V in minimum quantity lubrication conditions : an integrated application of genetic algorithms, machine learning, and multi-criteria decision making / Van-Canh Nguyen, Dung Hoang Tien, Thuy-Duong Nguyen, Van Hung Pham, Ba Nghien Nguyen, Duy Trinh Nguyen, and Van Que Nguyen -- Decision of 3D printing parameters for optimum tensile strength using the Taguchi based response surface method / Trieu Khoa Nguyen, Nguyen Thy Ton That, and Binh-Duong Nguyen -- An enhanced network optimization using the max product for multi-criteria decision making / A. Meenakshi, O. Mythreyi, S. Dhanushiya, and Shivangi Mishra -- Optimizing surface roughness of H13 steel machined by wire EDM technique / Nga Pham Thi Hong, Van Tron Tran, Thanh Tan Nguyen, Xuan Tien Vo, and Van-Thuc Nguyen -- Impact toughness of PBT/PA6 composite reinforced with glass fibers / Nguyen Cong Dat, Nguyen Tran Dan Truong, Nguyen Quang Tuan, Pham Thi Hong Nga, VanThuc Nguyen, Nguyen Vinh Tien, Pham Quan Anh, Nguyen Thanh Tan, and Ho Thi My Nu -- The effect of chamber temperature on the flexural strength of thermoplastic polyurethane plastic via FDM technology / Truong Hoang Phuc, Huynh Nguyen Vinh Phuc, Le Nguyen Trung Nam, Pham Thi Hong Ng -- Enhancement in underwater imagery using multi-criteria decision making with machine learning techniques / Ganesh Khekare, Shivani Kerai, Anil V Turukmane, Urvashi Khekare, Rahul Sharma, and Rahul Agrawal -- Optimal site selection of electric vehicle charging station based on AHP-VIKOR method / Mousumi Karmakar and Subhajit Bhattacharyya -- Optimum indices on topological intuitionistic fuzzy graph / J.Senbagamalar and V.Gomathi -- Advancements in multi-criteria decision making : exploring innovative approaches / Thi Minh Nhut Vo, Cong Truyen Duong, and Tien V.T. Nguyen -- Overview of machine learning techniques for multi-criteria decision-making / Wasswa Shafik -- Multi-criteria decision-making analysis on selection of electric vehicle power station location using neutrosophic TOPSIS method / Regan Murugesan, Sathish Kumar Kumaravel, Kala Raja Mohan, Nagadevi Bala Nagaram, and R. Narmada Devi -- Mcdm modeling using machine learning via spherical neutrosophic similarity measures / R. Narmada Devi, Regan Murugesan, Nagadevi Bala Nagaram, Kala Raja Mohan, and Sathish Kumar Kumaravel -- A study on machine learning twig graphs on the hyper wiener index of complete graph / Kannan A, Meenakshi Annamalai, Rajkumar. P, and Kujani T -- Enhancing multi-criteria decision-making through cryptographic security systems / A. Meenakshi, Dhanushiya.S., Mythreyi. O., and Shivangi Mishra -- AI-powered decision-making applications for sustainable development / Yang Minghai, Fluturim Saliu, and Waqar Akbar Khan -- Interface for the empirical analysis of artificial intelligent algorithms for better decision making / Ganesh Khekare, Ganesh Yenurkar, Anil V Turukmane, Gaurav Kumar Ameta, Pooja Sharma, and Ajay Kumar Phulre -- Multi-criterion analysis of fusion sort : a hybrid approach to sorting algorithms / Sathvik V Koushik, Shamanth Showri N R, Shreya C R, Urjitha P, and Divya C D -- Cruising through the choices : unraveling destination decision-making dilemmas with social networks -- a dynamic exploration via MCDM technique / Hai-Ninh Do -- Analysis of outcome-based education among students by MCDM algorithm / Sathish Kumar Kumaravel, -- Identifying best teacher awardee using MCDM algorithm / Kala Raja Mohan, R. Narmada Devi, R. Narmada Devi, Nagadevi Bala Nagaram, Regan Murugesan, and Sathish Kumar Kumaravel -- Lumpy skin disease prediction using machine learning / Nagadevi Bala Nagaram, R. Narmada Devi, Kala Raja Mohan, Sathish Kumar Kumaravel, and Regan Murugesan.
edited by Van ThanhTien Nguyen, Nhut T.M. Vo, Van Chinh Truong, and Van-Thuc Nguyen.
Includes bibliographical references and indexes.
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.
Optimisation multidisciplinaire (Conception technique)