Abstract
Earthquake behaviors are, in general, among the non-linear topics of physics. Unfortunately researches up to now could not yet propose a complete mathematical model for earthquake behavior prediction possibilities. The main reason for not being able to establish such a model is due to the non-linear behavior of the earthquake and its generation is dependent on a variety of indigenous factors. Mathematical expressions and modeling of the non-linear systems is comparatively difficult and sometimes requires high speed and memory computers. For this reason, the expert systems as Fuzzy Logic (FL) are now commonly used for such modelling. Model is suggested a system to examine the space-time behavior of any physical phenomena through a set of convenient mathematical expressions, which describe linear or non-linear aspects. Fuzzy logic applications have a fast increase in past few years. Fuzzy logic modelling can be a very powerful explains about internal structure of dynamic system. The most commonly used indicator in earthquake prediction studies is soil radon gas (222Rn). In this study, we have tried to explain relationships between 222Rn and earthquakes using fuzzy logic. The application region is performed for 222Rn data of Mersin region near the East Anatolian Fault System, Turkey.
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