title: |
Multi-criteria improvement of options |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 1030 - 1037 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Abdelhak Imoussaten, Jacky Montmain, Francois Trousset, Christophe Labreuche |
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publication date: |
July 2011 |
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keywords: |
decision support systems, multiple criteria analysis, bi-capacity, multicriteria improvement, CSP |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |