Name
Abstract | ||
|---|---|---|
While many objects and processes in the real world are discrete, from the computational viewpoint, discrete objects and processes are much more difficult to handle than continuous ones. As a result, a continuous approximation is often a useful way to describe discrete objects and processes. We show that the need for such an approximation explains many features of fuzzy techniques, and we speculate on to which promising future directions of fuzzy research this need can lead us. |
Year | Venue | Keywords |
|---|---|---|
2015 | Journal of Intelligent and Fuzzy Systems | continuous,chemical kinetics,symmetry |
Field | DocType | Volume |
Discrete mathematics,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy measure theory,Fuzzy set,Artificial intelligence,Fuzzy number,Type-2 fuzzy sets and systems,Mathematics,Machine learning,Discrete system | Journal | 29 |
Issue | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladik Kreinovich | 1 | 1091 | 281.07 |
| Hung T. Nguyen | 2 | 27 | 9.79 |
| Olga Kosheleva | 3 | 97 | 54.24 |
| R. Ouncharoen | 4 | 3 | 1.48 |