Multi-criteria improvement of options

DOI

10.2991/eusflat.2011.47How to use a DOI?

Keywords

decision support systems, multiple criteria analysis, bi-capacity, multicriteria improvement, CSP

Abstract

Designing the way a complex system should evolve to better match the customers' requirements provides an interesting class of applications for muticriteria techniques. The required models to support the improvement design of a complex system must include both preference models and system behavioral models. A MAUT model captures the decisions related to customers' preferences whereas a fuzzy representation is proposed to model the relationships between systems parameters and performances to capture operational constraints. This latter part of the improvement design is supported by a branch and bound algorithm to efficiently compute the most relevant actions to be performed.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Abdelhak Imoussaten
AU  - Jacky Montmain
AU  - Francois Trousset
AU  - Christophe Labreuche
PY  - 2011/08
DA  - 2011/08
TI  - Multi-criteria improvement of options
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 1030
EP  - 1037
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.47
DO  - 10.2991/eusflat.2011.47
ID  - Imoussaten2011/08
ER  -