从数据中学习OWA操作符权重

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI:10.1109/FUZZY.1994.343740

Dimitar Filev, R. Yager

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引用次数: 87

摘要

当我们已经观察到参数和聚合值的数据时，我们研究了获得与有序加权算子(OWA)聚合相关的权重的问题。这提供了一个程序，可以从以前的决策中了解决策者的信心水平。接下来，我们将介绍一组OWA算子，称为指数OWA算子

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Learning OWA operator weights from data

We investigate the issue of obtaining the weights associated with the ordered weighted operator (OWA) aggregation in the situation when we have observed data on the arguments and the aggregated value. This provides a procedure to learn the decision maker's level of confidence from previous decisions. We next introduce a family of OWA operators called exponential OWA operators.<>

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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference

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