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| DOI： |
| Received:May 07, 2003Revised:February 03, 2004 |
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| Fuzzy inference systems with no any rule base and linearly parameter growth |
| Shitong WANG, Korris F. L. CHUNG, Jieping LU, Bin HAN, Dewen HU |
| (Department of Computer, School of Information, Southern Yangtse University, Wuxi Jiangsu 214036, China;Department of Computing, HongKong Polytechnic University, HongKong, China;Department of Computer, Southeast University, NanjingJiangsu 210016, China;Department of Computer, EastChina Shipbuilding Institute, Zhenjiang Jiangsu 212003, China;School of Automation, National Defense University of Science & Technology, Changsha Hunan 410073, China) |
| Abstract: |
| A class of new fuzzy inference systems New-FISs is presented.Compared with the standard fuzzy system, New-FIS is still a universal approximator and has no fuzzy rule base and linearly parameter growth. Thus, it effectively overcomes the second "curse of dimensionality":there is an exponential growth in the number of parameters of a fuzzy system as the number of input variables,resulting in surprisingly reduced computational complexity and being especially suitable for applications,where the complexity is of the first importance with respect to the approximation accuracy. |
| Key words: Fuzzy inference Fuzzy systems Universal approximation Computational complexity Linearly parameter growth |
