Prediction of the Economically Active Population Index Using Interval-Valued Fuzzy Morphological Associative Memories
نویسندگان
چکیده
The last few decades have witnessed rapid progress in the field of type-2 fuzzy systems and in particular interval type-2 fuzzy systems. Encouraged by this progress, we present in this paper some theoretical foundations and applications of interval-valued fuzzy morphological associative memories (IV-FMAMs) as a rule-based system. We perform simulations concerning the application of IV-FMAMs to the prediction of the monthly rate of participation of certain age groups in the work force of the metropolitan area of São Paulo. The performance in terms of mean squared prediction errors of the IV-FMAM approach is then compared with the one of a conventional type-2 fuzzy inference system.
منابع مشابه
Associative memories based on fuzzy mathematical morphology and an application in prediction
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