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This book provides a comprehensive overview of machine learning algorithms and examines their application in complex decision-making systems in a service-oriented framework.
List of contents
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
About the author
Walayat Hussain received his PhD in Computer Science from the University of Technology Sydney, Australia. Currently, he is the Head of the Information Technology Discipline at the PFBS, Australian Catholic University, Australia. His current research interests are cloud/edge computing, business intelligence, decision-support systems, AI and machine learning.
Honghao Gao is currently with the School of Computer Engineering and Science, Shanghai University, China. He is also a professor at the College of Future Industry, Gachon University, Korea. His research interests include software security, cloud/edge computing, intelligent data processing and AI4Healthcare. Prof. Gao is a fellow of the Institution of Engineering and Technology (IET) and a fellow of the British Computer Society (BCS).
Fethi Rabhi received a PhD in Computer Science at the University of Sheffield in 1990. He is a professor at the School of Computer Science and Engineering at the University of New South Wales in Australia, specialising in software engineering applied to Business Applications.
Luis Martínez received MSc and PhD degrees in Computer Sciences, both from the University of Granada, Spain. He is a full professor in the Department of Computer Science at the University of Jaén. His current research interests are fuzzy decision making, fuzzy systems, decision-support systems, computing with words and recommender systems.
Summary
This book provides a comprehensive overview of machine learning algorithms and examines their application in complex decision-making systems in a service-oriented framework.
