Chaos, fractals, and dynamics: computer experiments in mathematics
Chaos, fractals, and dynamics: computer experiments in mathematics
Automatic control systems (7th ed.)
Automatic control systems (7th ed.)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Linear Control Systems
Schaum's Outline of Feedback and Control Systems
Schaum's Outline of Feedback and Control Systems
Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Closeness of Performance Map Information Granules: A Rough Set Approach
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
| Hi-index | 0.00 |
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.