Abstract | ||
---|---|---|
•A general framework to design multi criteria improvements of complex systems.•A MAUT preference model and a qualitative behavioral model jointly used to capture both managerial and operational aspects.•An iterative improvement procedure supported by mathematical models and software tools to test our approach on a study case.•A branch and bound algorithm that supports the search of adequate parameters to be applied on the system to improve it. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1016/j.ins.2014.08.027 | Information Sciences |
Keywords | Field | DocType |
Multiple criteria analysis,Constraint Satisfaction Problems (CSP),Industrial performance,Management strategies,Approximate reasoning,Choquet fuzzy integral | Software tool,Complex system,Branch and bound,Fuzzy logic,Behavioral modeling,Software,Artificial intelligence,Mathematical model,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
291 | C | 0020-0255 |
Citations | PageRank | References |
4 | 0.51 | 28 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jacky Montmain | 1 | 332 | 40.86 |
Christophe Labreuche | 2 | 709 | 65.78 |
Abdelhak Imoussaten | 3 | 7 | 5.81 |
François Trousset | 4 | 51 | 9.38 |