Name
Abstract | ||
|---|---|---|
This paper tries to show some important proper ties of the single input rule modules (SIRMs) connected fuzzy inference systems (FIS), including both type-1 (Tl) and inter val 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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/FUZZY.2011.6007487 | FUZZ-IEEE |
Keywords | Field | DocType |
single input rule module,sirm,fuzzy set theory,fuzzy reasoning,continuity,monotonicity,fis,robustness analysis,type-2 fuzzy,type-2 fuzzy inference system,type-1 fuzzy inference system,optimization,electrical engineering,engines,frequency selective surface,robustness | Monotonic function,Fuzzy reasoning,Computer science,Correctness,Fuzzy inference,Fuzzy set,Robustness (computer science),Artificial intelligence,Machine learning | Conference |
Volume | Issue | ISSN |
null | null | 1098-7584 E-ISBN : 978-1-4244-7316-8 |
ISBN | Citations | PageRank |
978-1-4244-7316-8 | 4 | 0.45 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengdong Li | 1 | 121 | 15.73 |
| Guiqing Zhang | 2 | 257 | 17.06 |
| Jian-Qiang Yi | 3 | 695 | 89.71 |
| Tiechao Wang | 4 | 56 | 6.80 |