Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide (多準則決策與機器學習最佳設計：實用指南)
Nguyen, Van Thanh Tien, Vo, Nhut T. M., Truong, Van Chinh
- 出版商: CRC
- 出版日期: 2024-12-11
- 售價: $5,810
- 貴賓價: 9.5 折 $5,520
- 語言: 英文
- 頁數: 330
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032635088
- ISBN-13: 9781032635088
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相關分類:
Machine Learning
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相關主題
商品描述
As multicriteria 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.
Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields.
Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.
商品描述(中文翻譯)
隨著多準則決策（MCDM）不斷成長與演變，機器學習（ML）技術在尋找有效且高效的解決方案以應對複雜問題方面變得越來越重要。本書旨在指導對機器學習與多準則決策交集感興趣的研究者、實務工作者和學生，以達成最佳設計。
《多準則決策與機器學習的最佳設計：實用指南》是一本全面的資源，填補了機器學習與多準則決策之間的空白。它通過展示機器學習和多準則決策算法在現實問題中的應用，提供了一種實用的方法。透過案例研究和範例，本書展示了這些技術在最佳設計中的有效性。書中還提供了傳統多準則決策算法與機器學習技術的比較分析，使讀者能夠在不同情境中做出明智的決策。此外，本書深入探討了新興趨勢，提供了對未來方向和潛在機會的見解。本書涵蓋了廣泛的主題，包括最佳設計的定義、多準則決策算法、監督式和非監督式機器學習技術、深度學習技術等，對於各個領域的專業人士和研究者來說，都是一個寶貴的資源。
《多準則決策與機器學習的最佳設計：實用指南》專為工程、計算機科學、可持續性及相關領域的專業人士、研究者和實務工作者設計。對於希望擴展其在多準則決策中機器學習應用知識的學生和學者來說，這也是一本有價值的資源。通過提供理論見解與實際範例的結合，本指南旨在激發進一步的研究和在多維決策環境中應用機器學習的靈感。
作者簡介
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.
作者簡介(中文翻譯)
Tien V.T. Nguyen 是 IEEE 的成員，擁有卓越的成就和令人印象深刻的教育背景。他於 2012 年和 2020 年分別在越南胡志明市國立大學、胡志明市科技大學和胡志明市社會科學與人文學院獲得機械工程和語言學的碩士學位。此外，他還在台灣的國立高雄科技大學獲得工業工程與管理的博士學位。
在他的職業生涯中，Tien 對其領域做出了重要貢獻，發表了超過 61 篇期刊論文和會議論文。他還擔任了超過 75 本 SCI/Scopus 期刊的審稿人，提供了超過 1010 份審稿報告。此外，他還擔任了幾本 Q1 期刊的學術編輯，處理了超過 65 篇科學手稿。
Tien 的專業經驗超越了學術界，他曾在南韓、泰國、俄羅斯和台灣等多個國家學習和工作。目前，他在越南胡志明市工業大學擔任講師。
他的專業領域包括機器學習 (AI)、合規機構優化設計、數值計算、多準則決策 (MCDM) 和供應鏈管理。Tien 的研究對其領域產生了重大影響，截至 2024 年 4 月，他的 Scopus H-index 為 17，引用次數達 646 次。
Nhut T. M. Vo 是 IEEE 的成員，擁有多元背景的專業人士。她在台灣的國立高雄科技大學 (NKUST) 獲得碩士學位，目前正在攻讀工業工程與管理的博士學位。她的職業生涯涵蓋了多個領域，包括銀行業、珠寶業、資訊科技和電子商務，這些經歷豐富了她對不同產業的理解。她也是一位自助出版的作者，出版了多本有關精益管理和其他領域的書籍。她的研究興趣涵蓋多個主題，包括物聯網、區塊鏈、雲計算、機器學習 (AI)、綠色能源、物流、電子商務和數值計算。
Van Chinh Truong 不僅是越南胡志明市工業大學機械工程系的教職員，還是一位敬業的教育者。Truong 博士積極參與研究和學術活動，參與了多個研究項目。他成功開發和實施了多種技術，對行業做出了重要貢獻。但他真正的熱情在於啟發和教育未來的工程師，這一承諾在他的工作和對機械工程領域的貢獻中得以體現。
Van-Thu Nguyen 是越南胡志明市科技教育大學的講師。他擁有國立高雄科技大學的博士學位，並發表了超過 50 篇 SCIE 期刊論文。他的專業領域包括製造材料科學和機械加工。他在其領域內是一位備受尊敬的研究者和教育者。
