Fuzzy Logic Modeling for Prediction of the Nuclear Tracks

Year 2018, Volume: 1 Issue: 1, 33 - 40, 01.08.2018

Shehab A. Ibrahem Ahmet Sahıner Ahmed A. Ibrahım

Abstract

In this paper, we have applied Fuzzy Logic Modeling (FLM) on nuclear track detector (CR-39) data. These data were obtained practically to find a number of effects tracks of alpha in nuclear track detector (CR-39) for different temperatures and different concentrations at different etchant times. We applied Fuzzy Logic Modeling on this physical data to make it continuous and that shows there is a match between original data and fuzzy and  then we found optimal triple  (temperature, concentration, etchant time) to get a clearer picture of the number of this tracks.

Keywords

Fuzzy logic, Nuclear track, Nuclear track detectors, Prediction

References

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