Using traditional design methods to enhance AI-driven decision making:
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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | 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. 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. |
| Beschreibung: | 1 Online-Ressource (503 Seiten) |
| ISBN: | 9798369306406 |
| DOI: | 10.4018/979-8-3693-0639-0 |
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| spelling | Using traditional design methods to enhance AI-driven decision making Tien V. T. Nguyen, Nhut T. M. Vo, editors traditional design methods to enhance artificial intelligence-driven decision making Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (503 Seiten) txt rdacontent c rdamedia cr rdacarrier 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. 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. Artificial intelligence Educational applications Education, Higher Decision making Educational leadership Nguyen, Tien V. T. 1987- edt Vo, Nhut Thi Minh 1986- edt Erscheint auch als Druck-Ausgabe 9798369306390 https://doi.org/10.4018/979-8-3693-0639-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Using traditional design methods to enhance AI-driven decision making Artificial intelligence Educational applications Education, Higher Decision making Educational leadership |
| title | Using traditional design methods to enhance AI-driven decision making |
| title_alt | traditional design methods to enhance artificial intelligence-driven decision making |
| title_auth | Using traditional design methods to enhance AI-driven decision making |
| title_exact_search | Using traditional design methods to enhance AI-driven decision making |
| title_exact_search_txtP | Using traditional design methods to enhance AI-driven decision making |
| title_full | Using traditional design methods to enhance AI-driven decision making Tien V. T. Nguyen, Nhut T. M. Vo, editors |
| title_fullStr | Using traditional design methods to enhance AI-driven decision making Tien V. T. Nguyen, Nhut T. M. Vo, editors |
| title_full_unstemmed | Using traditional design methods to enhance AI-driven decision making Tien V. T. Nguyen, Nhut T. M. Vo, editors |
| title_short | Using traditional design methods to enhance AI-driven decision making |
| title_sort | using traditional design methods to enhance ai driven decision making |
| topic | Artificial intelligence Educational applications Education, Higher Decision making Educational leadership |
| topic_facet | Artificial intelligence Educational applications Education, Higher Decision making Educational leadership |
| url | https://doi.org/10.4018/979-8-3693-0639-0 |
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