A fuzzy expert system for automatic seismic signal classification

作者：

Highlights：

• 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 expert’s knowledge and data.

• Adding weights to fuzzy rules generally improves the classification results.

• Vote by multiple rule fuzzy reasoning method shows the best performance.

摘要

•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 expert’s knowledge and data.•Adding weights to fuzzy rules generally improves the classification results.•Vote by multiple rule fuzzy reasoning method shows the best performance.

论文关键词：Seismic signal classification,Seismic signal feature extraction,Fuzzy rule based expert system,Fuzzy reasoning,Fuzzy set

论文评审过程：Available online 27 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.023