Abstract
This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that “the considered function is equal to zero if and only if some of the inputs is equal to zero”, we allow the range in which some t-norm is zero. We call such generalization by a t-overlap function with respect to such t-norm. Then we analyze the main properties of t-overlap function and introduce some construction methods.
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Notes
- 1.
In this paper, a increasing (decreasing) function does not need to be strictly increasing (decreasing).
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Acknowledgment
Supported by Caixa and Fundación Caja Navarra of Spain, the Brazilian National Counsel of Technological and Scientific Development CNPq (Proc. 307781/2016-0), the Spanish Ministry of Science and Technology (TIN2016-77356-P).
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Zapata, H., Dimuro, G.P., Fernández, J., Bustince, H. (2018). T-Overlap Functions: A Generalization of Bivariate Overlap Functions by t-Norms. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_41
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