Paper Info
Title
Multi-criteria improvement of options.
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.
Year
Venue
Keywords
2011
PROCEEDINGS OF THE 7TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-2011) AND LFA-2011
decision support systems,multiple criteria analysis,bi-capacity,multicriteria improvement,CSP
Field
DocType
ISSN
Branch and bound,Mathematical optimization,Computer science,Fuzzy logic,Decision support system,Management science
Conference
1951-6851
Citations 
PageRank 
References 
2
0.49
2
Authors
4
Name
Order
Citations
PageRank
Abdelhak Imoussaten175.81
Jacky Montmain233240.86
François Trousset3519.38
Christophe Labreuche470965.78