استعمال المحاكاة في الانحدار الضبابي
الشريط الجانبي للمقالة
محتوى المقالة الرئيسي
الملخص
يواجه المحلل جزءا من المشكلات عند اختبار دقة النموذج لتقدير معلمات نموذج الانحدار الضبابي ، لذا تم إنشاء متغيرات تتوزع توزيع طبيعي لتقليل خطأ التنبؤ عـــــــــــن طريــــــــــق استعمال الطريقة الأكثر شيوعا وهي طريقة (Box-Muller) ، والتي تعتمد على استراتيجيــــــــــــة إنشاء متغيرات غيــــــــــــــر منتظمة تتوزع توزيع قياسي (U (0,1 ، وبعد ذلك يتم تغيير هذه المتغيرات إلى متغيرات عشوائية حرة تأخذ بعد التشتت الطبيعي القياسي لتقييم معلمات البرهان وبالترتيب لتقليل خطأ التوقع هو الخطأ التربيعي العادي بين التركيزات المتوقعة والحقيقية التي توضح الدقة وتظهر الغموض التي تتحدث عن الضعف في إظهار التوقعات. كلما انخفضت هذه القيم ، كان أداء العرض متفوقا من حيث الدقة والجودة التي لا تتزعزع
تفاصيل المقالة
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المراجع
References:
Abbas, M. S., (2021). "Using the Fuzzy Linear Regression Model in Estimating the Impact of the Dollar Exchange Rate on the GDP in Iraq" Journal of Administration and Economics, Al-Mustansiriya University, No. 129.
Abd AL-hussn.H.,2022, " Estimation of the hazard function of acomposite probability model", majlat al-aqtasadi al-khaliji, NO.53
Abd El, Rahman,E.Q.,2022, "Estimation of the Reliability Function of a Complex Distribution (Pareto - amputated exponential)", majlat al-aqtasadi al-khaliji, NO.53
Abdul Razzaq, M. S. & Farhan, A. M., (2014), "Estimation of Fuzzy Parameters of Multiple Linear Regression with Practical Application", Al-Kout Journal of Economic and Administrative Sciences, No. 16.
Anandhavel. B.&Edwin Prabakaran. T., 2019, "A Learn Of Fuzzy Regression Model and Its Applications ",International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878 (Online), Volume-8 Issue-2
Aziz, Z. Y., (2018), "A Comparison between Fuzzy Regression and Fuzzy Hippocampus Regression", Tikrit Journal for Administrative and Economic Sciences, Vol. 4, Vol. 1, No. 44.
Bajaj, R. K., Garg, G.&Hooda, D.S., 2009, " Estimating Regression Coefficients in a Restricted Fuzzy Linear Regression Model " , https://www.researchgate.net/publication /260714699,
Batra. G. &Trivedi. M. , 2013, " A Fuzzy Approach For Software Effort Estimation", International Journal on Cybernetics & Informatics ( IJCI) ,Vol.2, No.1
Coquin, D.& Boukezzoula, R.,2021," Interval-Valued Fuzzy Regression: Philosophical And Methodological Issues", Applied Soft Computing Journal ,vol. 103.
Dereli. T&Durmus. A, (2010), "Application of Possibilistic Fuzzy Regression For Technology Watch", Journal Of Intelligent & Fuzzy Systems 21.
Dhigham,J.S.,2022, " Reliability of fuzzy Cascade system (stress- strength) for Weibull distribution of the model (1+1) using simulation method", NO.54
Elias, H. M. & Sabbagh, H. A. T., (2006). "Futuristic Regression Analysis", Iraqi Journal of Statistical Sciences, No. 10.
Al-Ghannam, M. T. A. & Al-Sabbagh, H. A. T., (2009), "A Study in Fuzzy Variables and Multiple Fuzzy Regression", Tikrit Journal of Administrative and Economic Sciences, Volume 5, Issue 14.
Haggag, M.M.M., 2018, "A New Fuzzy Regression Model by Mixing Fuzzy and Crisp Inputs", American Review of Mathematics and Statistics, Vol. 6, No. 2
Hashem, Z. Q., (2021). "Solving the Multi-Objective Linear Programming Model Using Binary (Corresponding Model)", Journal of Business Economics for Applied Research, Issue (Special - Part 1).
Hussein, I. H.&Khammas. H. A.,2019, " Fuzzy Survival And Hazard Functions Estimation For Rayleigh Distribution", Iraqi Journal Of Science, Vol. 60, No. 3
Mohammed,J.M. & Abbas. M.S,2018, "Estimation Nonparametric Fuzzy Regression Model Using Simulation", Economics & Administration Of Journal The ,41,Volume115.
Mohammed, M. J., (2007). "Immuneness Estimates of Fuzzy Regression", PhD thesis in Statistics, College of Administration and Economics, University of Baghdad.
Nadia, V. , Lesia, D. ,&Anatoliy ,S.,2020, " Estimation Method Of Information System Functioning Quality Based On The Fuzzy Logic " VOL:2631
Nasrabadi, M.M, Nasrabadi, E.& Nasrabady,A.R., (2005) " Fuzzy Linear Regression Analysis: A Multi-Objective Programming Approach", Applied Mathematics And Computation 163.
Nasrallah, M. W. N. & Ali, B. K., (2019). "A Comparison between the Greatest Possibility Method and the Moment Method in Estimating Fuzzy Reliability for Frijt Distribution Using Simulation", Karbala University Scientific Journal, Volume Seventeen, First Issue.
Saeed, S. A &Hussein, B. A., (2022). "Comparison between the Bayes method and the moment method in estimating the fuzzy reliability function of the distribution of the kama inverse using simulation", Warith Scientific Journal, Vol. 4, No. 11.
Tanaka, H., Uejima, S.&Asai, K., 1982. Linear Regression Analysis With Fuzzy Model. IEEE Trans. Systems, Man, Cybernet. 12.