On a family of fuzzy measures for data fusion with reduced complexity
نویسنده
چکیده
Choquet integrals are one of the appropriate methods for fusing numerical information. They aggregate numerical values with respect to a fuzzy measure, a way to represent importance that is an alternative to the weights in a weighted mean. The use of fuzzy measures, although extremely flexible when compared with weighting vectors, presents some difficulties when used in real applications: to define a fuzzy measure to combine n values, 2 2 parameters have to be settled. In this work we present a family of fuzzy measures with reduced complexity and we show that they are either adequate for redundant information sources or complementary ones.
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تاریخ انتشار 2000