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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chengdong Li Guiqing Zhang Jianqiang Yi Tiechao Wang |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China (Jianqiang Yi) || College of Electrical Engineering, Liaoning University of Technology, Jinzhou 121001, China (Tiechao Wang) || School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China (Chengdong Li; Guiqing Zhang) |
| Abstract | This paper tries to show some important properties of the single input rule modules (SIRMs) connected fuzzy inference systems (FIS), including both type-1 (T1) and interval type-2 (IT2) FISs. Three kinds of properties — continuity, monotonicity and robustness — are explored. First, conditions on the parameters are derived to ensure that the SIRMs connected FISs are continuous and monotonic. Then, a methodology for the robustness analysis of the SIRMs connected FISs are presented. At last, an example is given to show the correctness of the theorems on the continuity and monotonicity and to demonstrate the effectiveness of the proposed methodology for robustness analysis. These results can not only deepen our understanding of the SIRMs connected FISs, but also provide us guidelines for the design of the SIRMs connected FISs. |
| Starting Page | 1982 |
| Ending Page | 1988 |
| File Size | 325532 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007487 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Frequency selective surfaces Engines Input variables Electronic mail Optimization Electrical engineering robustness analysis type-2 fuzzy continuity monotonicity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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