Name
Abstract | ||
|---|---|---|
This paper proposes a design of hierarchical fuzzy inference tree (HFIT). An HFIT produces an optimum tree-like structure, i.e., a natural hierarchical structure that accommodates simplicity by combining several low-dimensional fuzzy inference systems (FISs). Such a natural hierarchical structure provides a high degree of approximation accuracy. The construction of the HFIT takes place in two phas... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2017.2698399 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
Optimization,Complexity theory,Fuzzy logic,Heuristic algorithms,Tuning,Artificial neural networks,Clustering methods | Journal | 26 |
Issue | ISSN | Citations |
2 | 1063-6706 | 1 |
PageRank | References | Authors |
0.35 | 70 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Varun Kumar Ojha | 1 | 32 | 9.25 |
| Václav Snasel | 2 | 1261 | 210.53 |
| Ajith Abraham | 3 | 8954 | 729.23 |