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arXiv · 1806.04711

Bounded Generalized Mixture Functions

Antonio Diego S. Farias·Valdigleis S. Costa·Luiz Ranyer de Araújo Lopes·Benjamín Bedregal·Regivan H. N. Santiago
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Abstract

In literature, it is common to find problems which require a way to encode a finite set of information into a single data; usually means are used for that. An important generalization of means are the so called Aggregation Functions, with a noteworthy subclass called OWA functions. There are, however, further functions which are able to provide such codification which do not satisfy the definition of aggregation functions; this is the case of pre-aggregation and mixture functions. In this paper we investigate two special types of functions: Generalized Mixture and Bounded Generalized Mixture functions. They generalize both: OWA and Mixture functions. Both Generalized and Bounded Generalized Mixture functions are developed in such way that the weight vectors are variables depending on the input vector. A special generalized mixture operator, H, is provided and applied in a simple toy example.

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Antonio Diego S. Farias, Valdigleis S. Costa, Luiz Ranyer de Araújo Lopes, Benjamín Bedregal, Regivan H. N. Santiago. 2018-06-05. Bounded Generalized Mixture Functions. https://arxiv.org/abs/1806.04711

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