Abstract
This paper presents an approach to visualizing a system’s dynamic performance with rough performance maps. Derived from the Julia set common in the visualization of iterative chaos, performance maps are constructed using rule evaluation and require a minimum of à priori knowledge of the system under consideration. By the use of carefully selected performance evaluation rules combined with color-coding, they convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst. A rough set approach is employed to generate an approximation of a performance map. Generation of this new rough performance map allows more intuitive rule derivation and requires fewer system parameters to be observed.
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Alpigini, J.J., Peters, J.F. (2001). Dynamic System Visualization with Rough Performance Maps. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_10
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DOI: https://doi.org/10.1007/3-540-45554-X_10
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