Name
Abstract | ||
|---|---|---|
Creating fuzzy control rules is a core of fuzzy control system. With the development and improvement of data mining technology, in this paper, making use of the feature of data mining clustering algorithms to classify the similar characteristic data are classified as a class, and combining the theory of generating fuzzy control rules, a new way is proposed to acquire fuzzy rules. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICNC.2010.5583770 | ICNC |
Keywords | Field | DocType |
fuzzy control rule creation,pattern clustering,fuzzy rule acquisition,data minging,fuzzy control rules table,pattern classification,data classification,control engineering computing,fuzzy control system,clustering,data mining,fuzzy control,data mining clustering algorithm,algorithm design and analysis,niobium,rule based,classification algorithms,clustering algorithms,pragmatics | Data mining,Fuzzy clustering,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Artificial intelligence,Adaptive neuro fuzzy inference system,Fuzzy associative matrix,Machine learning | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-5958-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongkui Sun | 1 | 4 | 5.99 |
| Lei Chen | 2 | 2 | 2.14 |
| Zhigang Li | 3 | 66 | 15.47 |
| Jinhua Wang | 4 | 2 | 1.10 |