Multi-criteria improvement of options

Abdelhak Imoussaten (1) , Jacky Montmain (1) , François Trousset (1) , Christophe Labreuche (2)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
2 Laboratoire Albert Fert (ex-UMPhy Unité mixte de physique CNRS/Thales)

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.

Domaines: Base de données [cs.DB]

Abdelhak Imoussaten, Jacky Montmain, François Trousset, Christophe Labreuche. Multi-criteria improvement of options. European Society for Fuzzy Logic and Technology, 2011, Annecy, France. pp.1. ⟨hal-00808605⟩