Uluslararası Sempozyum Bildirileri 

121. Egrioglu E., Bas E., MULTIVARIATE PICTURE FUZZY TIME SERIES: DEFINITIONS AND A FORECASTING METHOD BASED ON PI-SIGMA ARTIFICIAL NEURAL NETWORKS, 9 th INTERNATIONALCONFERENCE ON ENGINEERING & NATURAL SCIENCES November 13- 15, 2020 / Ankara, Turkey.

120. Egrioglu E., Bas E., A NEW RECURRENT DENDRITIC NEURON MODEL ARTIFICIAL NEURAL NETWORK FOR TIME SERIES FORECASTING, , 9 th INTERNATIONALCONFERENCE ON ENGINEERING & NATURAL SCIENCES November 13- 15, 2020 / Ankara, Turkey.

119. Egrioglu E., Bas E., A NEW AUTOMATIC FORECASTING METHOD BASED ON SINGLE MULTIPLICATIVE NEURON MODEL ARTIFICIAL NEURAL NETWORKS, , 9 th INTERNATIONALCONFERENCE ON ENGINEERING & NATURAL SCIENCES November 13- 15, 2020 / Ankara, Turkey.

118. Egrioglu E., Fildes R., Bas E., RECURRENT FUZZY TIME SERIES FUNCTIONS APPROACHES FOR FORECASTING, 9 th INTERNATIONALCONFERENCE ON ENGINEERING & NATURAL SCIENCES November 13- 15, 2020 / Ankara, Turkey.

117. Kızılaslan B., Egrioglu E., Evren A., 2018, Intuitionistic fuzzy ridge regression function, Abstract book of International Conference on Trends and Perspectives in Linear Statistical Inference, Bedlowo, Poland, page 96.

116. Eğrioğlu E., A New Multiple Model Approach based on Artificial Neural Network for Forecasting, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018. (Invited Talk)

115. Kocak, C., Egrioglu E., Bas E., Yolcu U., A new intuitionistic high order fuzzy time series method based on robust regression, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018.

114. Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., An intuitionistic fuzzy time series prediction method based on Sigma-Pi neural network, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018.

113. Tak, T., Egrioglu E., Bas E., Yolcu U., Combination of forecasting methods based on Fuzzy C-Means clustering, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018.

112. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., The use of some loss functions in fuzzy time series forecasting problem, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018.

111. Bas E., Egrioglu E., Yolcu U., Fuzzy regression function approach based on moving block bootstrap method, 11. International Statistics Days Conference, Muğla/Turkey, 03-07 October 2018.

110. Bas E., Egrioglu E., Yolcu U., Bootstrapped Holt method with autoregressive coefficients based on harmony search algorithm, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 170, 28-30 April 2018.

109. Kocak C., Egrioglu E., Bas E., Yolcu U., Intuitionistic high order fuzzy time series method based on regression and principal component analysis, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 166, 28-30 April 2018.

108. Yolcu U., Bas E., Egrioglu E., Cagcag Yolcu O., An intuitionistic fuzzy time series forecasting model based on bat algorithm, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 165, 28-30 April 2018.

107. Cagcag Yolcu O., Egrioglu E., Bas E., Yolcu U., Bootstraped fuzzy time series model based on particle swarm optimization, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page: 164, 28-30 April 2018.

106. Egrioglu E., Yolcu U., Bas E., Dalar A.Z., Bagged Pi-Sigma artificial neural networks with artificial bee colony algorithm for forecasting, 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), İzmir/Turkey, Book Page:85, 28-30 April 2018.

105- Ufuk Yolcu, Egrioglu E., Eren Baş, Winsorized Mean-Pi Artificial Neural Network based on Robust Learning forTime Series Forecasting, 13th German Probability and Statistics Days, Freiburger Stochastik-Tage, February 27–March 2, 2018, Poster Presentation.

104- Erol Egrioglu, Eren Baş, Ufuk Yolcu, Ali Zafer Dalar, Ozge Cagcag Yolcu, Bootstrapped linear and nonlinear artificial neural network for time series forecasting, 13th German Probability and Statistics Days, Freiburger Stochastik-Tage, February 27–March 2, 2018, Poster Presentation.

103- Eren Baş, Ufuk Yolcu, Egrioglu E., Ali Zafer Dalar, Intuitionistic Fuzzy Regression Functions Approach for Forecasting, 13th German Probability and Statistics Days, Freiburger Stochastik-Tage, February 27–March 2, 2018, Poster Presentation.

102- Egrioglu E., Yolcu U. Baş E. (2017). A new intuitionistic high order fuzzy time series method. 10th International Statistics Congress, 87.

101- Yolcu U., Egrioglu E., Baş E. (2017). A novel Holt’s method with seasonal component based on particle swarm optimization. 10th International Statistics Congress, 86.

100- Bas E., Egrioglu E. , Yolcu U. (2017). A new hybrid method for the training of multiplicative neuron model artificial neural networks. 10th International Statistics Congress, 95.

99- Kocak C., Egrioglu E. (2017). A New VARMA Type Approach of Multivariate Fuzzy Time Series Based on Artificial Neural Network. 10th International Statistics Congress, ISC2017.

98- Cagcag Yolcu O., Bas E., Egrioglu E.,Yolcu U. (2017). An Application of Single Multiplicative Neuron Model Artificial Neural Network with Adaptive Weights and Biases based on Autoregressive Structure. 10th Internationalstatistics Congress, 85.

97- Dalar A.Z., Bas E., Egrioglu E.,Yolcu U., Cagcag Yolcu O. (2017), Recurrent Fuzzy Regression Functions Approach based on IID Innovations Bootstrap with Rejection Sampling. 10th Internationalstatistics Congress, 10.

96- Cagcag Yolcu O., Bas, E., Egrioglu, E., Yolcu, Zaman serisi tahmini için tereddüt derecesine dayalı yeni bir sezgisel bulanık fonksiyon yaklaşımı, EUREFE’17, Book Page: 315, Aydın/Turkey, 27-29 July 2017

95- Egrioglu, E., Yolcu, U., Bas, E., Parçacık sürü optimizasyonuna dayalı değiştirilmiş Holt yöntemi, EUREFE’17, Book Page: 288, Aydın/Turkey, 27-29 July 2017.

94- Bas, E., Egrioglu, E., Yolcu, U., Winters’ın üstel düzleştirme yönteminde parçacık sürü optimizasyonu ile parametre tahmini, EUREFE’17, Book Page: 286, Aydın/Turkey, 27-29 July 2017.

93- Yolcu U., Egrioglu E., Baş E., Dalar A.Z., Cagcag Yolcu O. (2017). A Multi-Component Hybrid Learning Algorithm For Multiplicative Neuron Model Artificial Neural Networks. EUREFE’17 International Conference, 1(2), 316-317.

92- Gundogdu, O., Egrioglu, E., Yolcu, U., Bas, E., Dalar, A.Z., Bootstrapped robust Pi-Sigma artificial neural network based on robust learning algorithm, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 159, Konya/Turkey, 24-26 May 2017.

91- Kocak, C., Egrioglu, E., Yolcu, U., Bas, E., An application of ARMA type high order fuzzy time series forecast method based on fuzzy logic relation tables to TAIEX data, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 158, Konya/Turkey, 24-26 May 2017.

90- Yolcu, U., Egrioglu, E., Bas, E., Dalar, A.Z., IID bootstrap approach with rejection sampling for Pi-Sigma artificial neural network, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Konya/Turkey, Book Page: 67, 24-26 May 2017.

89- Dalar, A.Z., Bas, E., Yolcu, U., Egrioglu, E., Bagging fuzzy ridge regression functions approach for forecasting, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 66, Konya/Turkey, 24-26 May 2017.

88- Bas, E., Egrioglu, E., Yolcu, U., A robust learning algorithm for Pi-Sigma artificial neural networks based on M-estimator, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 65, Konya/Turkey, 24-26 May 2017.

87- Cagcag Yolcu O., Bas, E., Yolcu, U., Egrioglu, E., A new intuitionistic time series fuzzy inference system, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 64, Konya/Turkey, 24-26 May 2017.

86- Egrioglu, E., Yolcu, U., Bas, E., Dalar, A.Z., A hybrid forecasting method based on exponential smoothing and multiplicative neuron model artificial neural network, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 63, Konya/Turkey, 24-26 May 2017.

85- Cagcag Yolcu, O., Egrioglu, E., Bas, E., Kocak, C., Yolcu, U., A new ıntuitionistic fuzzy functions approach based on IID Bootstrap for time series prediction, I. International Symposium On Economics, Finance and Econometrics, Istanbul/Turkey, 21-23 September 2017.

84- Yolcu, U., Egrioglu, E., Bas, E., Dalar, A.Z., Cagcag Yolcu, O., Robust single multiplicative neuron model artificial neural network with adaptive weights and biases for forecasting, I. International Symposium On Economics, Finance and Econometrics, Istanbul/Turkey, 21-23 September 2017.

83- Ali Zafer Dalar, Erol Egrioglu, Time Series Forecasting with Sieve Bootstrap Fuzzy Functions Approach, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye. Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 822-831, 2016.

82- Ozlem Turksen, Erol Egrioglu, Mujgan Tez, A Hybrid Compartment Model Approaches Based on Particle Swarm Optimization, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye, Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 806-813, 2016.

81- Nihat Tak, Atif Evren, Mujgan Tez, Erol Egrioglu, Geri Beslemeli Bulanık Fonksiyon Yaklaşımı ve T.C. Altını Verisinin Analizi, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye. Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 112, 2016.

80- Busenur Sarıca, Erol Egrioglu, Bootstrapped AR-ANFIS Approach, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye. Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 87, 2016.

79-Ozge Gundogdu, Erol Egrioglu,, Öngörü için dayanıklı eğitim algoritmasına dayalı Tr-Pi yapay sinir ağı, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye, Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 698-708, 2016.

78-Erdinc Kolay, Taner Tunc, Erol Egrioglu, İstatistiksel Sınıflandırma Problemlerinde Farklı Yapay Sinir Ağı Sınıflayıcılarının Performanslarının İncelenmesi, 10. Uluslararası İstatistik Günleri Sempozyumu, 07-09 Ekim 2016, Giresun, Türkiye, Xth International Statistics Days Conference Abstract and Proceeding Book, ISBN: 978-605-030-311-7, 69, 2016.

77- Tak N., Evren A., Tez M., Egrioglu E., Recurrent Type-1 Fuzzy Regression Function for Time Series Forecasting, International Conference on Trends and Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

76- Gundogdu O., Egrioglu E., A New Robust Training Algorithm for Multiplicative Neuron Model Artificial Neural Network and Bootstrap Inferences for Weights and Forecasts, International Conference on Trends and Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

75- Sarıca B., Egrioglu E., Moving Block Bootstrap based ANFIS Approach for Forecasting, International Conference on Trends and Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

74- Dalar A.Z., Egrioglu E., Bootstrap Type-1 Fuzzy Functions Approach for Forecasting, International Conference On Trends And Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

73- Kocak C., Dalar A.Z., Yolcu O., Egrioglu E., A New Fuzzy Time Series Approach based on Recurrent Pi- Sigma Neural Network, International Conference On Trends And Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

72- Egrioglu E., Yolcu U., Bas E., Dalar A.Z., Median-Pi Artificial Neural Network for Forecasting, International Conference On Trends And Perspectives In Linear Statistical Inference, 22-25 August, 2016, Istanbul-Turkey.

71- Dalar A.Z., Egrioglu E., İşsizlik ve Enflasyon Arasındaki İlişkinin Klasik Yöntemler ve Yapay Sinir Ağları ile İncelenmesi, Eurefe’16, 14-16 Temmuz 2016, Aydın, Bildiri Özetleri Kitapçığı, Sayfa 218.

70- Egrioglu E., Dalar A.Z., İstihdam Rakamlarının Esnek Hesaplama Öngörü Yöntemleri İle Öngörülmesi, Eurefe’16, 14-16 Temmuz 2016, Aydın, Bildiri Özetleri Kitapçığı, Sayfa 217.

69- Karaahmetoglu E., Alakus K., Egrioglu E., Parçacik Sürü Optimizasyonuna Dayali Zamanla Değişir Bulanik Zaman Serisi Öngörü Yöntemi, 17th International Symposium on Econometrics, Operations Research and Statistics, 2-4 June 2016, Sivas, TURKEY, Abstract Book, Page 409.

68- Dalar A.Z., Bas E., Yolcu U., Egrioglu E., Bootstrap Fuzzy Functions For Time Series Forecasting; Application Of Borsa Istanbul, 17th International Symposium on Econometrics, Operations Research and Statistics, 2-4 June 2016, Sivas, TURKEY, Abstract Book, Page 383.

67- Bas E., Egrioglu E., Yolcu O.C., Yolcu U., A Hybrid Approach for Robust Training of Single Multiplicative Neuron Model Artificial Neural Networks, 1st International Balck Sea Business Administration Symposium, 16-19 Mayıs 2016, Giresun, Turkey, Procceding Book, 471-480.

66- Egrioglu E., Yolcu U., Yolcu O.C., Bas E., A new dynamic neural network for BIST100 Modelling, 1st International Balck Sea Business Administration Symposium, 16-19 Mayıs 2016, Giresun, Turkey, Procceding Book, 602-611.

65- Bas E., Egrioglu E., Yolcu U., Type 1 Fuzzy Function Approach Based on Ridge Regression for Forecasting Time Series, 12 th German Probability and Statistic Days, 1-4 March 2016, Ruhr University, Bochum, Abstract Book, Page 188. (Poster Presentation)

64- Egrioglu E., Bas E., Yolcu U., A new probabilistic fuzzy inference system for time series forecasting, 12 th German Probability and Statistic Days, 1-4 March 2016, Ruhr University, Bochum, Abstract Book, Page 118.

63- Sarica B., Egrioglu E., Asikgil B., Recurrent ANFIS for Time Series Forecasting, The 4th International Fuzzy Systems Symposium(FUZZYSS’15), İstanbul, Turkey, 2015.

62- Dalar, A.Z., Egrioglu, E., Cagcag Yolcu, O., Aladag, C.H., The Type-1 Fuzzy Function Approach Based on Artificial Neural Network for Forecasting, International Journal of Arts & Sciences’ (IJAS) The Euro-American Conference for Academic Disciplines, April 13-16, Paris, France, 2015.

61- Akdeniz Duran E., Egrioglu E., An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting, Uluslararası 9. İstatistik Kongresi, 28 Ekim-01 Kasım 2015, 94-95, ANTALYA/TÜRKİYE.

60- Egrioglu E., Bas E., Aladag C.H., Yolcu U., A New Probabilistic Fuzzy Time Series Method, The 4th International Fuzzy Systems Symposium(FUZZYSS’15), İstanbul, Turkey, 2015

59- Erdogan B.E., Egrioglu E., Akdeniz Duran E. Prediction of Bank Failures via Machine Learning Techniques using Pooled Panel Financial Data, 27th European Conference on Operational Research, 12-15 July, 2015,Glaskow.

58- Sarica B, Egrioglu E., Asıkgil B., A New Hybrid Method for Time Series Forecasting, The Seventh International Conference on Mathematical Statistics, June 19- July 3 2015, Simolenice Castle, Slovak Republic, Abstract Book, page 45.

57- Inan D., Egrioglu E., Tez M., Sarica B., Particle Swarm Optimization Based Liu Estimator, The Seventh International Conference on Mathematical Statistics, June 19- July 3 2015, Simolenice Castle, Slovak Republic, Abstract Book, page 29.

56- Gundogdu O., Egrioglu E., (2015). Particle swarm optimization and trimmed mean based training algorithm for multplicative neuron model artificial neural networks for forecasting time series, Proceeding ITISE 2015, page 602, Intenational Work Conference on Time Series Analysis, Granada, July 1-3, 2015.

55-Corba S. B., Egrioglu E., Yolcu U., (2015). A new type recurrent multiplicative neuron -model artificial neural network for forecasting, Proceeding ITISE 2015, page 637, Intenational Work Conference on Time Series Analysis, Granada, July 1-3.

54- Yolcu C.O., Yolcu U., Egrioglu E., Aladag C.H., (2015). A high order Fuzzy Time Series Forecasting model based on fuzzy c-means nad artificial neural networks, Proceeding ITISE 2015, page 564, Intenational Work Conference on Time Series Analysis, Granada, July 1-3.

53- Dalar A.Z., Yolcu U., Egrioglu E., Aladag C.H., (2015). Forecasting Turkey Electric Consumption by Using Fuzzy Function Approach, Proceeding ITISE 2015, page 543, International Work Conference on Time Series Analysis, Granada, July 1-3.

52- Bas E., Egrioglu E., Aladag C.H., Yolcu U., (2015). A fuzzy time series network for forecasting, Proceeding ITISE 2015, page 542, Intenational Work Conference on Time Series Analysis, Granada, July 1-3.

51- Bas E., Yolcu U., Egrioglu E., Yolcu O.C., The training of Artificial Neural Network with Multiplicative Neuron Model Based on Differantial Evolution Algorithm for Forecasting, 2nd Global conference on Computer Science, Software, Networks and Engineering, İzmir Turkey, 2014.

50- Cagcag O., Bas E., Egrioglu E., A New Artificial Neural Network Model based on trimmed mutiplicative neuron model to determine fuzzy relation, 2nd Global conference on Computer Science, Software, Networks and Engineering, İzmir Turkey, 2014.

49- Dalar, A. Z., Aladağ, Ç. H., Yolcu, U., Egrioglu E., (2014). Comparision of Type-1 Fuzzy Function Approach and Traditional Forecasting Methods for Istanbul Stock and Bond Exchange Time Series International Conference for Academic Diciplines. Viyana, Avusturya.

48- Eğrioğlu, E., Aladağ, Ç. H., Yolcu, U. & Dalar, A. Z. (2014). A new neural network model with deterministic trend component for time series forecasting International Conference for Academic Diciplines. Viyana, Avusturya.

47- Özge Çağcağ, Ufuk Yolcu, Eğrioğlu, E., Çağdaş Hakan Aladağ (2014). Robust Fuzzy Time Series Approach International Conference for Academic Diciplines. Viyana, Avusturya.

46- Ufuk Yolcu, Çağdaş Hakan Aladağ, Eğrioğlu, E. (2014). Probabilistic Approaches for Multiplicative Neuron Model Artificial Neural Networks International Conference for Academic Diciplines. Viyana, Avusturya.

45- Aladağ Ç. H., Eğrioğlu, E., Yolcu U., Gündogdu Ö., (2014). A new neural network based on multiplicative neuron model for multivariate time series forecasting International Conference for Academic Diciplines. Viyana, Avusturya.

44- Uslu V.R., Baş E., Eğrioğlu, E., (2014). A new method to find the optimal values of the shrinkage parameters in ridge regression, International Conference for Academic Diciplines. Viyana, Avusturya.

43-Uslu V.R., Egrioglu E., Bas E., Finding Optimal Value For The Shrınkage Parameter In Rıdge Regressıon Vıa Partıcle Swarm Optımızatıon, XIVth International Symposium on Econometrics, Operations Research and Statistics, Sarajevo/ Bosnia and Herzegovina, May 24‐28, 2013.

42- Yolcu U., Aladağ Ç.H., Egrioglu E., Medyan Nöron Modele Sahip İleri Beslemeli Yapay Sinir Ağları ile Zaman Serisi Öngörüsü, XIVth International Symposium on Econometrics, Operations Research and Statistics, Sarajevo/ Bosnia and Herzegovina, May 24‐28,2013.

41- Yolcu O.C., Alpaslan F., Egrioglu E., Aladag C.H., Novel Fuzzy Time Series Approach, The 3rd International Fuzzy Systems Symposium, İstanbul Turkey, 2013.

40-Aladag C.H., Yolcu U., Egrioglu E., Turksen I.B., Type 1 Fuzzy Function Time Series Function Approach Based on Binary Particle Swarm Optimization, The 3rd International Fuzzy Systems Symposium, İstanbul Turkey, 2013.

39- Gundogdu O., Egrioglu E., Aladag C.H., Yolcu U., Gauss Aktivasyon Fonksiyonuna Dayalı Çarpımsal Nöron Model Yapay Sinir Ağı, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

38-Kocak C., Egrioglu E., Bulanık Mantık İlişkilere Dayalı ARMA(1,1) Tipi Bulanık Zaman Sesi Öngörü Yönteminin Bir Uygulaması, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

37- Yolcu U., Yolcu Ö. C., Egrioglu E., Aladag C.H., An Improved High Order Fuzzy Time Series Approach, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

36-Egrioglu E., Aladag C.H., Yolcu U., A New Adaptıve Network Fuzzy Inference System For Tıme Serıes Forecastıng, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

35- Bas E., Yolcu, U., Uslu V.R., Egrioglu E., A Fuzzy Tıme Serıes Approach Based On Dıfferentıal Evolutıon Algorıthm Usıng De/Best/1 Mutatıon Strategy, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

34- Dalar A.Z., Egrioglu E., Yolcu U., Aladag C.H., Turksen I.B., Tip 1 Bulanık Fonksiyon Yaklaşımının Zaman Serilerinde Bir Uygulaması, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

33- Kocak C., Egrioglu E., Yapay Sinir Ağlarına Dayalı yüksek dereceden bulanık ARMA zaman Serisi Öngörü Yönteminin Bir Uygulaması, 8. International Statistics Conferenece, Antalya, Turkey, 2013.

32- Eğrioğlu E., Aladağ Ç.H., Yolcu U., Bas E. Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting, 2. World Conference on Business, Economics and Management, 25- 28 April 2013, Antalya, Turkey.

31- Eğrioğlu E., Aladağ Ç.H., Fuzzy Time Series Method Based on Particle Swarm Optimization and Multiplicative Neuron Model, 7th International Conference on on Neural Networks and Artificial Intelligence (ICNNAI’2012), Octeber 10-12, 2012, Minsk, Belarus.

30- Koçak C., Eğrioğlu E., Advantages provided by Fuzzy ARMA(1,1) time Series forecasting method in proportion to other fuzzy time series method,IGS 2012.

29- Bas E., Uslu V.R., Yolcu U., Eğrioğlu E., A fuzzy time series approach with differantial evoluation algorithm, IGS2012.

28- Eğrioğlu E., Aladağ Ç.H., Yolcu U., Dalar A.Z., A hybrid fuzzy time series method based on particle swarm optimization and feed forward neural networks, IGS 2012.

27-Eğrioğlu E., Aladağ Ç.H., Gündoğdu Ö., Özler B., IMKB forecasting based on multiplicative neuron model, IGS 2012, Eskişehir.

26- Alpaslan F., Eğrioğlu E., Aladağ Ç.H., İlter D., Dalar A.Z., Comparison of multiplicative neuron models using ABC and BP training algorithms: an application to Istanbul gold exchange, İGS 2012, Eskişehir.

25- Aladağ Ç.H, Eğrioğlu E., Bal Ç., Alptekin B., Forcasting TL/Chinese RMB and TL/USD exchange rates with feed forward neural networks, İGS 2012.

24- Koçak C, Yolcu U., Eğrioğlu E., Bulanık Cronbach Alfa, 13th International Conference on Econometrics, Operation Research and Statistics, 24-26 May, Northern Cyprus, Fagamusta, 2012.

23- Egrioglu E , Aladağ C.H., Yolcu U., Cagcag Ö., Özler B.S., Üyelik Değerlerine ve Çarpımsal Nöron Modele Dayalı Bulanık Zaman Serisi Yaklaşımı, 13th International Conference on Econometrics, Operation Research and Statistics, 24-26 May, Northern Cyprus, Fagamusta, 2012.

22- Alpaslan F., Cagcag Ö, Yolcu U., Aladağ C.H., Eğrioğlu E, Mevsimsel Bulanık Zaman Serilerinin Çözümlenmesinde Yeni Bir Yaklaşım, 13th International Conference on Econometrics, Operation Research and Statistics, 24-26 May, Northern Cyprus, Fagamusta, 2012.

21- Uslu V.R., Baş E., Yolcu U., Egrioglu E., Genetik Algoritmaya Dayalı Yeni Bir Bulanık Zaman Serisi Yaklaşımı, International 7. Statistical Congress, Antalya, Turkey, 2011.

20- Egrioglu E., Yolcu U., Aladağ C.H., Dalar A.Z., Parçacık sürü optimizasyonu ve bulanık kümelemeye dayalı yeni bir zaman değişmez bulanık zaman serisi analizi yöntemi, International 7. Statistical Congress, Antalya, Turkey, 2011.

19- Koçak C., Eğrioğlu E., Yolcu U., Yapay Sinir Ağlarına Dayalı ARMA(1,1) Tipli Bulanık Zaman Serisi Öngörü Yöntemi, , International 7. Statistical Congress, Antalya, Turkey, 2011.

18- Egrioglu E., Aladağ C.H., Yolcu U., Üçgensel Bulanık Sayılardan Oluşan Bulanık Zaman Serilerinin Çözümlenmesi, International 7. Statistical Congress, Antalya, Turkey, 2011.

17- Aladağ S., Aladağ Ç.H., Eğrioğlu E., Bulanık Zaman Serileri İle Ankara Hava Kalitesi Verisinin Çözümlenmesi, International 7. Statistical Congress, Antalya, Turkey, 2011.

16- Yolcu U., Aladağ C.H., Uslu V.R., Eğrioğlu E., Bulanık Zaman Serilerinin Öngörüsünde Aralık Uzunluğunun Etkisi, International 7. Statistical Congress, Antalya, Turkey, 2011.

15- Alpaslan F., Eğrioğlu E., Aladağ C.H., Tring E., En Düşük Ve En Yüksek Altın Fiyatlarının Yapay Sinir Ağları İle Öngörüsü, International 7. Statistical Congress, Antalya, Turkey, 2011.

14- Aladağ C.H., - Egrioglu E., Yolcu U., A Simulation Based Approach to Calculate the Fuzzy Correlation Coefficient of Fuzzy Observations, FUZZYSS'11: The Second Internatıonal Fuzzy Systems Symposıum, Proceeding Book, Editors : C. Gokceoglu, H. C. Aladag, A. Akgun , Page: 34-36.,2011.

13- Sibel Aladag, Cagdas Hakan Aladag, Turhan Mentes, Egrioglu E., A New Seasonal Fuzzy Time Series Method Based on Multiplicative Neuron Model and SARIMA, FUZZYSS'11: The Second Internatıonal Fuzzy Systems Symposıum, Proceeding Book, Editors : C. Gokceoglu, H. C. Aladag, A. Akgun , Page: 37-41.,2011.

12- Egrioglu E , Aladağ C.H., Yolcu U., A Hybrid Fuzzy Time Series Forecasting Model Based on Fuzzy C-Means and Artificial Neural Networks, FUZZYSS'11: The Second Internatıonal Fuzzy Systems Symposıum, Proceeding Book, Editors : C. Gokceoglu, H. C. Aladag, A. Akgun , Page: 45-49.,2011.

11- F. Alpaslan, O. Cagcag, C.H. Aladag, U. Yolcu, E. Egrioglu, A Novel Seasonal Fuzzy Time Series Method, FUZZYSS'11: The Second Internatıonal Fuzzy Systems Symposıum, Proceeding Book, Editors : C. Gokceoglu, H. C. Aladag, A. Akgun , Page: 50-55.,2011.

10- U. Yolcu, C.H. Aladag, E. Egrioglu, A Hybrid Artificial Neural Network Model with Linear & Nonlinear Components, Online Conference on Soft Computing in Industrial Applications, December 5-16th, 2011.

9- Aladag C.H., Egrioglu E., Forecasting Tourism Demand Of Turkey By Using Artificial Neural Networks, Proceedings of Tenth Islamic Countiries Conference on Statistical Science (ICCS-X), volume I, The Islamic countries society of Statistical Sciences, Lahore: Pakistan, 2010, 384-391.Proceedings of the Tenth Islamic Countries Conference on Statistical Sciences (ICCS-X), Volume I,

8- Aladağ C.H., Eğrioğlu E., Yolcu U., A New High Order Fuzzy Time Series Approach, International Symposium Computing Science and Engineering, 2010, İzmir, Türkiye.

7- Uslu V.R., Aladağ C.H., Yolcu U., Eğrioğlu E., A new hybrid approach for forecasting a seasonal fuzzy time series, International Symposium Computing Science and Engineering, 2010, İzmir, Türkiye.

6- Al S., Aladağ Ç.H., Eğrioğlu E., “Forecasting The Number of outpatient visits using artificial neural Networks, Fifth Conference of the eastern mediterrenean region of the international biometric society, 10- 14 May 2009, İstanbul, Türkiye.

5- Egrioglu E., Aladag C.H., Yolcu U, Basaran M.A., A New High Order Fuzzy Time Series Forecasting Method Based on Feed Forward Neural Networks and Optimization of Interval Length, 1 st International Fuzzy Systems Symposium., Ankara, 1-2 Ekim, 2009.

4- Açikgöz A., Ovalı C., Açikgöz G., Eğrioğlu E., Tooth Loss and Reason of Tooth Extractions in the Elderly Patients, 17th. International Congress of Dentomaxillofacial Radiology, June 28 –July 2, Amsterdam, Netherlands, 2009. (Poster)

3- Başaran M.A., Günay S., Aladağ Ç.H., Eğrioğlu E., Parameter estimation in multivariate fuzzy regression utilizing fuzzy identity matrix, Uluslararası Çok Değişkenli İstatistik Sempozyumu, Kayseri, 2008.

2- Mısır A.F., Sumer M., Yenisey M., Eğrioğlu E., The In – Vitro Evaluation of Heat Production During Implant Preparation with using Surgical Drill Guides, Ağız Ve Çene Yüz Cerrahisi Birliği Derneği 2. Uluslar Arası Kongresi, 16-20 Mayıs 2008, Antalya, Türkiye.

1- Misir AF, Manisali M, Egrioglu E, Naini FB. Retrospective Analysis Of Nasal Soft Tissue Profile Changes With Maxillary Surgery. 1st Scientific Congress of Hellenic, Israeli and Turkish Associations of Oral and Maxillofacial Surgeons (HITAOMS) in conjunction with the 17th Scientific Congress of Turkish Association of Oral and Maxillofacial Surgeons (TAOMS) 14-17 October 2010, Istanbul, Turkey.