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Journals / Journal of Multidisciplinary Modeling and Optimization / 2018 / Cilt: 1 - Sayı: 1

Fuzzy Logic Modeling for Prediction of the Nuclear Tracks

Shehab A. IBRAHEM, Ahmet SAHINER, Ahmed A. IBRAHIM

Pages
33–40
DOI
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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.