Abstract
The setting of this paper is the general information theory and the pseudo-analysis. We consider the general information measure J, defined without probability for crisp sets or without fuzzy measure for fuzzy sets and we propose a particular information measure for intersection of two sets. The pseudo-analysis is used to generalize the definition of independence and it leads to a functional equation. This equation belongs to a system of functional equations. We present some solutions of this system.
Supported by GNFM of MIUR (ITALY).
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Vivona, D., Divari, M. (2018). A New Measure of General Information on Pseudo Analysis. In: Ciucci, D., Pasi, G., Vantaggi, B. (eds) Scalable Uncertainty Management. SUM 2018. Lecture Notes in Computer Science(), vol 11142. Springer, Cham. https://doi.org/10.1007/978-3-030-00461-3_22
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DOI: https://doi.org/10.1007/978-3-030-00461-3_22
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