Fitting generated aggregation operators to empirical data
Beliakov, Gleb, Mesiar, Radko and Valaskova, Lubka 2004, Fitting generated aggregation operators to empirical data, International journal of uncertainty, fuzziness, and knowledge-based systems, vol. 12, no. 2, pp. 219-236.
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This paper treats the problem of fitting general aggregation operators with unfixed number of arguments to empirical data. We discuss methods applicable to associative operators (t-norms, t-conorms, uninorms and nullnorms), means and Choquet integral based operators with respect to a universal fuzzy measure. Special attention is paid to k-order additive symmetric fuzzy measures.
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