Emerging Trends in Decision Support: Methodology, Algorithms and Applications
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This book includes the peer-reviewed proceedings of the Sixth Edition of the International Colloquium MOAD24 which was held in 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…mehr

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Produktbeschreibung
This book includes the peer-reviewed proceedings of the Sixth Edition of the International Colloquium MOAD24 which was held in 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.
Autorenporträt
Fazia Bedouhene received her M.Sc. and Magister degrees in Operations Research and Optimization from Mouloud Mammeri University of Tizi-Ouzou (UMMTO), Algeria, in 1996 and 1999, respectively. She earned her Ph.D. in Mathematics from UMMTO in 2004 and completed her habilitation in 2007. She began her academic career as Assistant Professor (2000–2007), became Associate Professor (2007–2011), and became Full Professor in December 2011. Since then, she has held several pedagogical, scientific, and administrative positions at UMMTO. She has served as President of the Scientific Committee of the Mathematics Department (2011–2014), head of the doctoral program in Mathematical Analysis and Applications (2015–2017), head of the master’s program in the same field (2018–2021), and Director of the Laboratoire de Mathématiques Pures et Appliquées (2019–2022). She was a member of the Scientific Council (2018–2021), Vice Dean for Post-Graduation, Scientific Research, and External Relations of the Faculty of Sciences (2021–2024), and member of the Board of Trustees (2021–2024). She is currently a member of the Regional University Habilitation Commission (since 2022). She has supervised over 15 doctoral theses and her research activities include participation in projects such as an Erasmus collaboration with the University of Rouen-Normandie (2020–2022) and a PNR project coordinated by USTHB (2011–2013). Hacène Belbachir is a Professor of Mathematics at USTHB. He obtained his D.E.S. (Diplôme d'Etudes Supérieur) in Mathematics with a specialization in Probability and Statistics in 1991 at USTHB. He earned a Magistère in Algebra and Number Theory in 1994 at USTHB, another Magistère in Economics and Applied Statistics in 1996 at ENSSEA (formerly known as INPS), and his Doctorate in Combinatorial Number Theory at USTHB in 2007. From 2009 to 2016, he was responsible for Scientific Indicators and later for Research Programming, Evaluation, and Prospective at the DGRDST (Direction Générale de la Recherche Scientifique et du Développement Technologique). He served as the Director of CERIST (Centre de Recherche sur l’Information Scientifique et Technique) from 2019 to 2023 and as the Director of the RECITS Laboratory (Recherche Opérationnelle, Combinatoire, Informatique Théorique et Modélisation Stochastique) from 2019 to 2022, where he currently leads the CATI team (Combinatoire, Arithmétique et Informatique Théorique). He is an associate member of LF2MI  (Laboratoire International de Mathématiques et de ses Interactions) and LITIS Laboratory (Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes) at the University of Rouen. During the initial six months of its establishment, he launched and managed the National Higher School of Mathematics (NHSM) in Sidi Abdellah. Furthermore, he is the president of the national committee for scientific olympiads at the Algerian Ministry of National Education and coordinator of the Mathematical Olympiad. Moussa Larbani received his bachelor’s degree in mathematics, majoring in operations research, from the University of Science and Technology Houari Boumedienne (USTHB), Algiers, Algeria in 1985, and his Ph.D. in ordinary differential equations and optimal control from Odesa National University, Odesa, Ukraine in 1991. He started his academic career at the University Mouloud Mammeri of Tizi-Ouzou (UMMTO), Tizi-Ouzou, Algeria, from 1991 to 2001. He became an Associate Professor in 1998. Then he joined the International Islamic University Malaysia (IIUM ) in Kuala Lumpur, Malaysia from 2001 to 2006. He spent 1 year at Kainan University, Taoyuan, in Taiwan as a visiting Associate Professor, then joined again IIUM where he became a professor in 2010. He left IIUM in August 2015 to join Carleton University, Ottawa, Canada as a contract professor. Recently, in 2022, he started working as a permanent Associate Professor at the National Higher School of Statistics and Applied Economics (ENSSEA), Koléa, Algeria. His current research interests include game theory, multiple-criteria decision-making under uncertainty, and Habitual Domain theory. Dr. Larbani has made a significant contribution to the theory of second-order games and the theory of decision-making in changeable spaces. He is versatile in research; his research work scope encompasses many different areas such as decision-making under uncertainty, game theory, multiple-criteria decision-making, supply chain management, artificial intelligence, efficiency, finance, and statistics. Most of his research outcomes are published in specialized and reputable journals. Moreover, he taught many mathematics and operational research courses at different levels (graduate, postgraduate, MBA, and DBA), supervised many students for Ph.D. and master’s degrees, and contributed to many research projects. He also gave many keynote talks at international conferences.