Emerging Trends in Decision Support: Methodology, Algorithms and Applications

The methods developed in this book are based on optimization, graph theory, combinatorics, game theory, control theory, probability and statistics, simulation, stochastic processes, data mining, machine learning, artificial intelligence, fuzzy set theory and mathematical modelling. This book includes the peer-reviewed proceedings of the Sixth Edition of the International Colloquium MOAD24 which was held at Mouloud Mammeri University of Tizi-Ouzou, Algeria, Oct 20-22, 2024. It consists of nine parts which cover the main aspects of decision support such as analysis, predictive, mathematical, algorithmic, operational, and economic. The methods developed in this book are based on optimization, graph theory, combinatorics, game theory, control theory, probability and statistics, simulation, stochastic processes, data mining, machine learning, artificial intelligence, fuzzy set theory and mathematical modelling. Its outcomes can be implemented for analysis and prediction in different areas of human activities such as management, economics, knowledge extraction from big data, system control, cyber security, medicine, engineering, and politics. This book can be a good support for decision makers, R&D departments, and researchers in related fields.