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Using Traditional Design Methods to Enhance Ai-driven Decision Making - Hardcover

 
9798369306390: Using Traditional Design Methods to Enhance Ai-driven Decision Making

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"Through its thought-provoking chapters, it aims to deepen the understanding of AI-Driven decision-making in higher education leadership and equip readers with the necessary knowledge and resources to embrace and leverage the potential of AI in decision-making processes"--

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Nguyen, Tien V. T. (EDT); Vo, Nhut T. M. (EDT)
Published by Information Science Reference, 2024
ISBN 13: 9798369306390
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Published by Information Science Reference, 2024
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Published by IGI Global, 2024
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Nguyen, Tien V. T. (EDT); Vo, Nhut T. M. (EDT)
Published by Information Science Reference, 2024
ISBN 13: 9798369306390
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Nguyen, Tien V. T. (EDT); Vo, Nhut T. M. (EDT)
Published by Information Science Reference, 2024
ISBN 13: 9798369306390
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Published by IGI Global, 2024
ISBN 13: 9798369306390
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Nguyen, Tien V. T. (EDT); Vo, Nhut T. M. (EDT)
Published by Information Science Reference, 2024
ISBN 13: 9798369306390
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Nhut T.M. Vo
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ISBN 13: 9798369306390
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Hardcover. Condition: new. Hardcover. In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. Offering valuable insights into leadership pathways within higher education contexts, the book presents a diverse collection of perspectives and experiences to inform readers about the complexities surrounding AI-driven decision-making. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials. Explores a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369306390

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