Name
Title | ||
|---|---|---|
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems |
Abstract | ||
|---|---|---|
A typical task in technical fault detection or medical diagnosis problems is to discrim- inate normal behavior from one or more types of abnormal behavior by means of dif- ferent measured or computed features. This may lead to difficult classification problems due to extremely different a priori proba- bilities of classes and heterogeneous classes (e.g. unknown sub-classes for different er- rors to be detected). In this paper, an ap- proach to design fuzzy classifiers is pre- sented, which is based on decision-theoretic measures and uses a learning data set with feature values and given information about decision and classifier costs. |
Year | Venue | Keywords |
|---|---|---|
2003 | EUSFLAT Conf. | cost sensitive learning.,diagno- sis,decision theory,fuzzy modelling,fault detection,medical diagnosis |
Field | DocType | Citations |
Neuro-fuzzy,Pattern recognition,Defuzzification,Fuzzy classification,Fuzzy set operations,Fault detection and isolation,Fuzzy logic,Artificial intelligence,Adaptive neuro fuzzy inference system,Mathematics,Machine learning,Fuzzy rule | Conference | 1 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Beck | 1 | 41 | 5.39 |
| Ralf Mikut | 2 | 188 | 35.34 |
| Jens Jäkel | 3 | 69 | 2.27 |
| Georg Bretthauer | 4 | 98 | 25.44 |