Jordan Richardson

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In this paper, we propose two versions of an improved defuzzification technique for Takagi Sugeno Kang (TSK) fuzzy systems (FSs) based on local third-order approximations. The presented nearest-neighbor spline approximation algorithms (NNSA1 and NNSA2) use the concept of a zeroth-order TSK FS and produce smooth surfaces with increased accuracy. The proposed(More)
Approximation of unknown functions in multiple dimensions is an important topic in many areas of industrial engineering, such as nonlinear control. Currently, approaches such as neural networks or fuzzy systems are used to create highly nonlinear surfaces from data. Here we show the capabilities of a very simple classical numerical method such as cubic(More)
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