Abstract
In this manuscript, we study the measure of interactivity in fuzzy process, more specifically, in linearly correlated fuzzy processes. This measure is a covariance average of \(\alpha \)-levels of two fuzzy numbers. The analysis is illustrated using the Malthusian model, for which we compute the interactivity of the solution at instants \( t + h \) and t. Also, we observe its behavior when t tends to infinity and h tends to zero.
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Acknowledgements
The authors would like to thank CAPES, FAPESP \(2016/26040-7\) and CNPq \(306546/2017-5\).
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Pedro, F.S., Esmi, E., de Barros, L.C. (2019). Measure of Interactivity on Fuzzy Process Autocorrelated: Malthusian Model. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_50
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DOI: https://doi.org/10.1007/978-3-030-21920-8_50
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