A fuzzy expert system for automatic seismic signal classification
A fuzzy rule based expert system for seismic signal classification is proposed. Relevant discriminant features are extracted from seismic signal. The system exploits the information derived from both experts knowledge and data. Adding weights to fuzzy rules generally improves the classification results. Vote by multiple rule fuzzy reasoning method shows the best performance.
seismic signal classification fuzzy rule based expert system fuzzy reasoning seismic signal feature extraction fuzzy set