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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
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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.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

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.