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Multi-aggregator fuzzy decision trees: EC-based optimization

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2 Author(s)
Souafi-Bensafi, S. ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA ; Nikravesh, M.

We introduce a generic, multicriteria model based on fuzzy logic concepts for decision support systems. Our goal is to build such a model by 1) fitting real-world data and 2) representing the preferences of specific-domain users or experts. Toward this end, we used evolutionary computation techniques. Initially, we worked on a first order aggregation model and performed its learning using genetic algorithms. This has been used in a specific application related to university admissions. Then, we propose a more advanced multiaggregation model based on decision trees. For the learning process of this model, we developed a technique inspired from genetic programming.

Published in:

Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on

Date of Conference:

21-24 Aug. 2003