Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, { {M}} ≥ 6.0. Variable EPA method

Strong earthquake-prone areas recognition (𝑀 ≥ 6.0) in the Caucasus is performed by means of the new "Barrier-3" pattern recognition algorithm.The obtained result is compared with potentially high seismicity zones recognized previously using the "Cora-3" pattern recognition algorithm.It is proposed to define an interpretation of the integral recognition result by the "Barrier-3" and "Cora-3" algorithms as a fuzzy set of recognition objects in the vicinity of which strong earthquakes may occur in the Caucasus.