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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tzung-Pei Hong Wei-Tee Lin Chih-Ping Chu Chen-Sen Ouyang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan (Tzung-Pei Hong) || Department of Computer Science and Information Engineering, I-Shou University, Taiwan (Chen-Sen Ouyang) || Department of Computer Science and Information Engineering, National Cheng-Kung University, Taiwan (Wei-Tee Lin; Chih-Ping Chu) |
| Abstract | In this paper, we propose an iterative genetic learning approach for automatically finding an appropriate set of membership functions and rules in Takagi-Sugeno fuzzy systems. The proposed approach can be divided into two parts. In the first part, an initial rule set is given and the set of membership functions appropriate for the TS fuzzy model is automatically induced. In the second part, the induced membership functions are then fed as the input into the TS fuzzy model to obtain a new rule set. The rule set is then fed into the first part to repeat the same learning process. The process is thus executed iteratively until the terminal criterion is satisfied. The experimental results show that the proposed approach can derive good membership functions with good shapes and rule sets with low errors in Takagi-Sugeno systems. |
| Starting Page | 3246 |
| Ending Page | 3251 |
| File Size | 315263 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437023 |
| DOI | 10.1109/ICMLC.2009.5212734 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative methods Takagi-Sugeno model Fuzzy systems Fuzzy sets Computer science Genetic engineering Genetic algorithms Machine learning Cybernetics Shape TS fuzzy model Genetic algorithm Membership function Fuzzy inference |
| Content Type | Text |
| Resource Type | Article |
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