Name: Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks (en Inglés)
SKU: 65863869
Price: 189.09 USD
Availability: InStock
Author: Pallavi Vijay Chavan Ph.D.; Nisha Balani Ph.D.; Ramchandra Mangrulkar Ph.D.; Sangita Santosh Chaudhari Ph.D.

portada Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks (en Inglés)

Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann Publishers

Autor

Pallavi Vijay Chavan Ph.D.; Nisha Balani Ph.D.; Ramchandra Mangrulkar Ph.D.; Sangita Santosh Chaudhari Ph.D.

Idioma

Inglés

N° páginas

270

Encuadernación

Tapa Blanda

ISBN13

9780443337284

Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks (en Inglés)

Pallavi Vijay Chavan Ph.d.; Nisha Balani Ph.d.; Ramchandra Mangrulkar Ph.d.; Sangita Santosh Chaudhari Ph.d. (Autor) · Morgan Kaufmann Publishers · Tapa Blanda

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Reseña del libro "Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks (en Inglés)"

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 become 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.