Fuzzy Logic Modeling for Prediction of the Nuclear Tracks
Yıl 2018,
Cilt: 1 Sayı: 1, 33 - 40, 01.08.2018
Shehab A. Ibrahem
,
Ahmet Sahıner
,
Ahmed A. Ibrahım
Öz
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.
Kaynakça
- [1] R.L. Fleischer, P.B. Price and R.M. Walker, Nuclear Tracks in Solids 1975.[2] R.K. Jain, A. Kumar, R.N. Chakraborty and B.K. Nayak, Irradiation Etect of 60Co Gamma Rays onBulk Etch Rate, Track Etch Rate and Activation Energy of CR-39 Solid State Nuclear Track Detector,Proceedings of the DAE Symposium on Nuclear Physics. 59 (2014), 432-433.[3] A.F. Hafez and G. Somogyi, Determination of Radon and Thoron Permeability through Some Plastics byTrack Technique, International Journal of Radiation Applications and Instrumentation. 12 (1986), 697{700.[4] F. Leonardi, M. Caresana, R. Mishra, S. Tonnarini, R. Trevisi and M. Veschetti, An Extended Study of theEtching Characteristics of CR-39 Detectors, Radiation Measurements. 44 (2009), 787-790.[5] V. Chavan, P.C. Kalsi and A. Mhatre The Etching, Optical and Thermal Response of a Newly DevelopedNuclear Track Detector Called NADAC-ADC Copolymer to Gamma-Irradiation, Journal of Radioanalyticaland Nuclear Chemistry. 87 (2011), 273-276.[6] S. B. Al-deen and A. A. Ibrahem nding of optimum Etching conditions for CR-39 nuclear track detector,Kirkuk journal F06 pus science. 3 (2015).[7] L. A. Zadeh, Fuzzy sets, Information and Control. 8 (1965), 338{353.[8] A. Homaifar and E. Cormick, Simultaneous design of membership functions and rule sets for fuzzy con-trollers using genetic algorithms, IEEE Trans. Fuzzy Systems. 3 (1995), 129-139.[9] J. M. Mendel, Fuzzy logic systems for engineering, A tutorial In Proceedings of the IEEE. 83 (1995),345-377.[10] Y. Y. Yao, Two views of the theory of rough sets innite universes., International Journal of ApproximationReasoning. 15 ( 1996), 291-317.[11] Y. Y. Yao, A comparative study of fuzzy sets and rough sets, Information Sciences. 109 (1998), 227-242.[12] G. Hayward and V. Davidson, Fuzzy logic applications, Analyst. 128 (2003), 1304-1306.[13] W. Wang and S. M. Bridges, Genetic algorithm optimization of membership functions for mining fuzzyassociation rules, Fuzzy Theory and Technology Conference (2000).FUZZY LOGIC MODELING FOR PREDICTION OF THE NUCLEAR TRACKS 9[14] A. Abraham, Adaptation of fuzzy inference system using neural learning. Fuzzy System Engineering, Theoryand Practice N. Nedjah. 3 (2005), 53-83.[15] M. Z. Shaq, M. Farooq and S. A. Khayam, Neural Networks and Adaptive Neuro Fuzzy Inference Systemsfor Portscan Detection, EvoWorkshops, LNCS. 4974 (2008), 52-61.[16] F. Zhiyi, A fuzzy inference system for synthetic evaluation of compost maturity and stability, Masters ofEngineering thesis, University of Regina, Saskatchewan (2004).[17] S. Kumar, N. Bhatia and N. Kapoor, Fuzzy logic based tool for loan risk prediction, In Proceedings ofInternational Conference on Communication and Computing Technologies. (2011), 180-183.[18] S. Kumar, N. Bhatia and N. Kapoor, Software risk analysis using fuzzy logic, International Journal ofComputer Information Systems. 2 (2011), 7-12.[19] S. Gursharan, N. Bhatia and S. Sawtantar, Fuzzy logic based cricket player performance evaluator, IJCASpecial Issue on "Articial Intelligence Techniques - Novel Approaches and Practical Applications" AIT.(2011).[20] M. J. Smithson, G. Oden, Fuzzy set theory and application in psychology, International Handbook of FuzzySets and Possibility Theory. 5 (1999) 557-585.[21] J. Russell and M. Bullock, Fuzzy Concepts and the perception of emotion in facial expression, Social-Cognition. 4 (1986), 309-341.[22] V. Dimitrov, Use of Fuzzy Logic when dealing with Social Complexity, Complexity International. 04 (1997)1-10.[23] T. Yahashita, On a support system for human decision making by the combination of fuzzy reasoning andfuzzy structural modeling, Fuzzy Set and System. 8 (1998), 257-263.[24] T. Luis, A Fuzzy based advisor for election and creation of political communities, Information SystemResearch Group. 3 (2011) 180-185.
Yıl 2018,
Cilt: 1 Sayı: 1, 33 - 40, 01.08.2018
Shehab A. Ibrahem
,
Ahmet Sahıner
,
Ahmed A. Ibrahım
Kaynakça
- [1] R.L. Fleischer, P.B. Price and R.M. Walker, Nuclear Tracks in Solids 1975.[2] R.K. Jain, A. Kumar, R.N. Chakraborty and B.K. Nayak, Irradiation Etect of 60Co Gamma Rays onBulk Etch Rate, Track Etch Rate and Activation Energy of CR-39 Solid State Nuclear Track Detector,Proceedings of the DAE Symposium on Nuclear Physics. 59 (2014), 432-433.[3] A.F. Hafez and G. Somogyi, Determination of Radon and Thoron Permeability through Some Plastics byTrack Technique, International Journal of Radiation Applications and Instrumentation. 12 (1986), 697{700.[4] F. Leonardi, M. Caresana, R. Mishra, S. Tonnarini, R. Trevisi and M. Veschetti, An Extended Study of theEtching Characteristics of CR-39 Detectors, Radiation Measurements. 44 (2009), 787-790.[5] V. Chavan, P.C. Kalsi and A. Mhatre The Etching, Optical and Thermal Response of a Newly DevelopedNuclear Track Detector Called NADAC-ADC Copolymer to Gamma-Irradiation, Journal of Radioanalyticaland Nuclear Chemistry. 87 (2011), 273-276.[6] S. B. Al-deen and A. A. Ibrahem nding of optimum Etching conditions for CR-39 nuclear track detector,Kirkuk journal F06 pus science. 3 (2015).[7] L. A. Zadeh, Fuzzy sets, Information and Control. 8 (1965), 338{353.[8] A. Homaifar and E. Cormick, Simultaneous design of membership functions and rule sets for fuzzy con-trollers using genetic algorithms, IEEE Trans. Fuzzy Systems. 3 (1995), 129-139.[9] J. M. Mendel, Fuzzy logic systems for engineering, A tutorial In Proceedings of the IEEE. 83 (1995),345-377.[10] Y. Y. Yao, Two views of the theory of rough sets innite universes., International Journal of ApproximationReasoning. 15 ( 1996), 291-317.[11] Y. Y. Yao, A comparative study of fuzzy sets and rough sets, Information Sciences. 109 (1998), 227-242.[12] G. Hayward and V. Davidson, Fuzzy logic applications, Analyst. 128 (2003), 1304-1306.[13] W. Wang and S. M. Bridges, Genetic algorithm optimization of membership functions for mining fuzzyassociation rules, Fuzzy Theory and Technology Conference (2000).FUZZY LOGIC MODELING FOR PREDICTION OF THE NUCLEAR TRACKS 9[14] A. Abraham, Adaptation of fuzzy inference system using neural learning. Fuzzy System Engineering, Theoryand Practice N. Nedjah. 3 (2005), 53-83.[15] M. Z. Shaq, M. Farooq and S. A. Khayam, Neural Networks and Adaptive Neuro Fuzzy Inference Systemsfor Portscan Detection, EvoWorkshops, LNCS. 4974 (2008), 52-61.[16] F. Zhiyi, A fuzzy inference system for synthetic evaluation of compost maturity and stability, Masters ofEngineering thesis, University of Regina, Saskatchewan (2004).[17] S. Kumar, N. Bhatia and N. Kapoor, Fuzzy logic based tool for loan risk prediction, In Proceedings ofInternational Conference on Communication and Computing Technologies. (2011), 180-183.[18] S. Kumar, N. Bhatia and N. Kapoor, Software risk analysis using fuzzy logic, International Journal ofComputer Information Systems. 2 (2011), 7-12.[19] S. Gursharan, N. Bhatia and S. Sawtantar, Fuzzy logic based cricket player performance evaluator, IJCASpecial Issue on "Articial Intelligence Techniques - Novel Approaches and Practical Applications" AIT.(2011).[20] M. J. Smithson, G. Oden, Fuzzy set theory and application in psychology, International Handbook of FuzzySets and Possibility Theory. 5 (1999) 557-585.[21] J. Russell and M. Bullock, Fuzzy Concepts and the perception of emotion in facial expression, Social-Cognition. 4 (1986), 309-341.[22] V. Dimitrov, Use of Fuzzy Logic when dealing with Social Complexity, Complexity International. 04 (1997)1-10.[23] T. Yahashita, On a support system for human decision making by the combination of fuzzy reasoning andfuzzy structural modeling, Fuzzy Set and System. 8 (1998), 257-263.[24] T. Luis, A Fuzzy based advisor for election and creation of political communities, Information SystemResearch Group. 3 (2011) 180-185.