| Summary: | Earthquakebehaviors are, in general, among the non-linear topics of physics. Unfortunatelyresearches up to now could not yet propose a complete mathematical model forearthquake behavior prediction possibilities. The main reason for not beingable to establish such a model is due to the non-linear behavior of theearthquake and its generation is dependent on a variety of indigenous factors.Mathematical expressions and modeling of the non-linear systems iscomparatively difficult and sometimes requires high speed and memory computers.For this reason, the expert systems as Fuzzy Logic (FL) are now commonly usedfor such modelling. Model is suggested a system to examine thespace-time behavior of any physical phenomena through a set of convenientmathematical expressions, which describe linear or non-linear aspects. Fuzzylogic applications have a fast increase in past few years. Fuzzy logicmodelling can be a very powerful explains about internal structure of dynamicsystem. The most commonly used indicator in earthquake prediction studies issoil radon gas (222Rn). In this study, we have tried to explainrelationships between 222Rn and earthquakes using fuzzy logic. Theapplication region is performed for 222Rn data of Mersin region nearthe East Anatolian Fault System, Turkey.
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