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.
Chapter 1 Application of Choquet–OWA Aggregation Operator to Fuse ELICIT Information
Wen He, Wei Liang, Álvaro Labella and Rosa M. Rodríguez
Chapter 2 GPipe: Using Adaptive Directed Acyclic Graphs to Run Data and Feature Pipelines with on-the-fly Transformations
José Hélio de Brum Müller, Fethi A. Rabhi and Zoran Milosevic
Chapter 3 Building an ESG Decision Making System: Challenges and Research Directions
Fethi Rabhi, Mingqin Yu, Alan Ng, Eric Lim, Felix Tan and Alan Hsiao
Chapter 4 Analysing Trust, Security and Cost of Cloud Consumer’s Reviews using RNN, LSTM and GRU
Muhammad Raheel Raza, Walayat Hussain and Mehdi Rajaeian
Chapter 5 Interval Type-2 Fuzzy Decision Analysis Framework Based on Online Textual Reviews
Xiao-Hong Pan, Shi-Fan He, Diego García-Zamora and Luis Martínez
Chapter 6 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