Fuzzy cognitive mapping vs. statistic approach of geomorphological analysis of active faults: Preliminary results from a case study within the Corinth Graben, Greece

Abstract This paper is presenting a new methodology for classifying faults that host destructive earthquakes based on their morphometric analysis of basins draining the footwall block of the fault. The morphometric analysis is based on four indices. These indices are drainage basin shape (Bs), the asymmetry factor (AF), the stream length-gradient index (SL), and the valley floor width to valley height ratio (Vf) which are integrated with the use of statistically induced "Iat" index. This newly proposed methodology tries to correlate the causality between indices considered here as concepts that allows degrees of causality and not the usual binary logic of the "Iat" statistical index. These very interesting results will be presented for a well analyzed seismically active normal fault within the Gulf of Corinth Graben, Greece.