Mixture Functions Based on Deviation and Dissimilarity Functions
Mixture functions represent a special class of weighted averaging functions with weights determined by continuous weighting functions which depend on the input values. If they are monotone increasing, they also belong to the important class of aggregation functions. Their construction can be based on minimization of special (weighted) penalty functions using dissimilarity function or based on zero value of the special (weighted) strictly increasing function using deviation functions.
Jana Špirková has been supported by the project VEGA no. 1/0093/17 Identification of risk factors and their impact on products of the insurance and savings schemes.
Pavol Král’ has been supported by the project VEGA 1/0767/18 SMART model - a decision support tool in management of enterprises.
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