9780443337284 - decision systems: integrating machine learning, fuzzy logic, and artificial neural networks von vijay chavan (3 Ergebnisse)
Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks
Vijay Chavan Ph.D., Pallavi; Balani Ph.D., Nisha; Mangrulkar Ph.D., Ramchandra; Chaudhari Ph.D., Sangita Santosh
- Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 166,34
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Zustand: New.
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- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 204,42
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Zustand: New. Covers foundational concepts, advanced theories, and real-world applications, ensuring readers gain a thorough understanding of Decision SystemsPresents the foundational mathematics behind the various techniques covered, including stepwise .
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Sprache: Englisch
Verlag: Elsevier Science & Technology, Morgan Kaufmann Jul 2025, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 282,00
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Taschenbuch. Zustand: Neu. Neuware - Decision-making is a fundamental process that influences outcomes across a wide range of domains, including business, healthcare, scientific research, and automation. With the increasing availability of data and the growing computational power of modern systems, decision-making models have be…come more sophisticated and capable of providing highly accurate and efficient solutions. The ability to develop, analyze, and implement these models has become crucial for professionals and researchers working in fields that rely on data-driven decision-making.This book explores the evolution and significance of decision systems, covering both foundational theories and advanced methodologies. It introduces readers to the essential principles of decision-making models, illustrating their applications through practical case studies and real-world scenarios. The discussion begins with a focus on traditional decision-making techniques and gradually progresses to more advanced topics, including machine learning-based approaches, the integration of artificial intelligence, and the role of fuzzy logic in decision support systems. Furthermore, ethical considerations in decision-making and strategies for mitigating bias are examined, ensuring that models remain fair and transparent.Throughout this book, each chapter builds on the previous one, providing a structured and comprehensive learning experience. By the time readers complete this book, they will have gained an in-depth understanding of decision-making frameworks, their applications, and the future directions of research in this dynamic field. Whether one is a student, a researcher, or an industry professional, this book serves as a valuable guide to mastering the complexities of decision systems and applying them effectively in various domains.
