The Multi-Criteria Approach for Decision Support: An Introduction with Practical Applications

This book presents the multi-criteria approach to decision support, as well as the various multi-criteria tools to help avoid multi-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical programming. It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature.

The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem. It introduces the elements of the actors, the decision-making activity under criteria, calculations, specifications and objective criterion.

About the Authors

Lotfi Azzabi is a member of the LARIS laboratory (Angevin Laboratory for Systems Engineering Research) at the University of Angers, France. His areas of interest include multi-criteria optimization, multi-criteria analysis, process diagnosis, statistical process control (SPC), data analysis and Lean/Six Sigma. He teaches courses in applied statistics, SPC, D, Six Sigma, mathematics, probability and operational research.

Dorra Azzabi is a member of the LARIS laboratory at the University of Angers, France. Her areas of interest include multi-criteria optimization, multi-criteria analysis and diagnosis of complex production processes.

Abdessamad Kobi is president of RUFEREQ (Réseau Universitaire Français pour l’Enseignement et la Recherche En Qualité). He is also a member of the LARIS laboratory of University of Angers and a Full Professor at the Polytech Angers, School of Engineering of University of Angers in the Department of Quality-Innovation-Reliability. His field of interest includes process diagnosis, statistical process control (SPC), data analysis and Lean/Six Sigma.