Abstract
In this paper is proposed a semiquantitative methodology to study models of dynamic systems with qualitative and quantitative knowledge. This qualitative information may be composed by: operators, envelope functions, qualitative labels and qualitative continuous functions. A formalism is also described to incorporate this qualitative knowledge into these models. The methodology allows us to study all the states (transient and stationary) of a semiquantitative dynamic system. It also helps to obtain its behaviours patterns. The methodology is applied to a logistic growth model with a delay.
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Antonio Ortega, J., Gasca, R.M., Toro, M., Torres, J. (2002). A Semiquantitative Approach to Study Semiqualitative Systems. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science(), vol 2527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36131-6_31
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DOI: https://doi.org/10.1007/3-540-36131-6_31
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