Abstract
Fuzzy systems have been successfully applied in classification, modeling, control, signal processing, and communications applications. Unfortunately, there is little work on the performance analysis of fuzzy systems, which yet is an important aspect for the systems. In this paper, we propose a method to conduct performance analysis for rule-based fuzzy systems. We first map the rules to a fuzzy Petri net, then build a set of fuzzy differential equations based on this net, and finally analyze the performance using the solutions of the equations. An airport control system has been employed to illustrate our method. The performance metrics include taxi-out speeds, runway utilization, and departure throughput.
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Acknowledgments
This work is partially supported by the NSF under Grant No. 61210004 and 61170015.
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Wu, D., Ding, Z., Kandel, A. (2014). Performance Analysis of Rule-Based Fuzzy System Based on Fuzzy Differential Equations. In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_105
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DOI: https://doi.org/10.1007/978-3-642-54924-3_105
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