The Multi-Criteria Approach for Decision Support - Azzabi, Lotfi;Azzabi, Dorra;Kobi, Abdessamad
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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. Hisfield of interest includes process diagnosis, statistical process control (SPC), data analysis and Lean/Six Sigma.