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Aggregation functions, similarity and fuzzy measures

Advances in Intelligent Systems and Computing (2018) 581 223-228
DOI: 10.1007/978-3-319-59306-7_23
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Abstract

We propose a new method for constructing fuzzy measures. This method is based on a fixed aggregation function A, similarity measure S and a vector x ∈ [0, 1]n. Some illustrative examples yielding parametric families of fuzzy measures are given, and some properties of our method are studied.

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Borkotokey, S., Komorníková, M., Li, J., & Mesiar, R. (2018). Aggregation functions, similarity and fuzzy measures. In Advances in Intelligent Systems and Computing (Vol. 581, pp. 223–228). Springer Verlag. https://doi.org/10.1007/978-3-319-59306-7_23

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