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Advances in complex decision making = using machine learning and tools for service-oriented computing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in complex decision making/ edited by Walayat Hussain ... [et al.]
其他題名:	using machine learning and tools for service-oriented computing /
其他作者:	Hussain, Walayat.
出版者:	Abingdon, Oxon, OX :Chapman & Hall/CRC Press, : 2024.,
面頁冊數:	1 online resource.
標題:	Machine learning. -
電子資源:	https://www.taylorfrancis.com/books/9781003340621
ISBN:	9781003340621

Advances in complex decision making = using machine learning and tools for service-oriented computing /
Advances in complex decision makingusing machine learning and tools for service-oriented computing /[electronic resource] :edited by Walayat Hussain ... [et al.] - 1st ed. - Abingdon, Oxon, OX :Chapman & Hall/CRC Press,2024. - 1 online resource.

Includes bibliographical references and index.

The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms. For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.

ISBN: 9781003340621Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.3/1

Advances in complex decision making = using machine learning and tools for service-oriented computing /
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520 $a The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms. For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
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