Screen LibraryAdvances in complex decision making : using machine learning and tools for service-oriented computing /
"The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. The book Advances in Complex Decision Making: Using Machine Learning Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decisi...
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| Group Author: | ; ; ; |
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| Published: |
CRC Press, Taylor & Francis Group,
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| Publisher Address: | Boca Raton : |
| Publication Dates: | 2024. |
| Literature type: | Book |
| Language: | English |
| Edition: | First edition. |
| Subjects: | |
| Summary: |
"The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. The book Advances in Complex Decision Making: Using Machine Learning 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 application 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. The 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"-- |
| Item Description: | "A Chapman & Hall Book" -- from cover. |
| Carrier Form: | xiii, 112 pages : illustrations, forms ; 24 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781032375267 1032375264 |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/A244-4 |
| Contents: | Application of Choquet-OWA aggregation operator to fuse ELICIT information / Wen He, Wei Liang, Álvaro Labella and Rosa M. Rodríguez -- Gpipe : using adaptive directed acyclic graphs to run data and features pipelines with on the fly transformations / José Hélio de Brum Müller, Fethi A. Rabhi and Zoran Milosevic -- Building an ESG decision making system : challenges and research directions / Fethi Rabhi, Mingqin Yu, Alan Ng, Eric Lim, Felix Tan, Alan Hsiao -- Analysing trust, security and cost of cloud consumer's reviews using RNN, LSTM and GRU / Muhammad Raheel Raza, Walayat Hussain, Mehdi Rajaeian -- Interval type-2 fuzzy decision analysis framework based on online textual reviews / Xiao-Hong Pana, Shi-Fan Hea, Diego García-Zamorab, Luis Martínez -- Robust comprehensive minimum cost consensus model for multi-criteria group decision making : application in IoT platform selection / Yefan Han, Bapi Dutta, Diego García-Zamora and Luis Martínez. |