Yayınlar & Eserler

Yayın Ağı
Makaleler 42
Tümü (42)
SCI-E, SSCI, AHCI (35)
SCI-E, SSCI, AHCI, ESCI (36)
ESCI (1)
Scopus (35)
TRDizin (2)
Diğer Yayınlar (5)

1. A hybrid XGBoost-based model approach to evaluate the effect of biomass fly ash in vegetable and fruit waste composting

Doğan H., Aydın Temel F., CAĞCAĞ YOLCU Ö., Turan N. G.
Biomass and Bioenergy , cilt.203, 2025 (SCI-Expanded) identifier

2. Tuned machine learning modeling tools and genetic algorithm for anionic dye adsorption on biomass-based activated carbons

Yavuz Baş S., Aydın Temel F., CAĞCAĞ YOLCU Ö., Akbal F., Kuleyin A.
Desalination , cilt.609, 2025 (SCI-Expanded) identifier

3. GA-based partial high-order-cascaded-deep time series forecasting model

Birim G., CAĞCAĞ YOLCU Ö.
Soft Computing , cilt.29, sa.8, ss.4055-4074, 2025 (SCI-Expanded) identifier

4. Zaman Serisi Tahmini İçin Yeni Bir Yaklaşım: Bulanık Regresyon Ağı Fonksiyonları

BİRİM G., YOLCU Ö.
International journal of advances in engineering and pure sciences (Online) , cilt.37, sa.1, ss.36-52, 2025 (TRDizin) identifier

5. Simulation and optimization of cheese whey additive for value-added compost production: Hyperparameter tuning approach and genetic algorithm

Şahin C., Aydın Temel F., CAĞCAĞ YOLCU Ö., Turan N. G.
Journal of Environmental Management , cilt.370, 2024 (SCI-Expanded) identifier identifier

6. Short-term load forecasting: cascade intuitionistic fuzzy time series—univariate and bivariate models

CAĞCAĞ YOLCU Ö., Lam H., YOLCU U.
Neural Computing and Applications , cilt.36, sa.32, ss.20167-20192, 2024 (SCI-Expanded) identifier

7. A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM

CAĞCAĞ YOLCU Ö., YOLCU U.
Information Sciences , cilt.679, 2024 (SCI-Expanded) identifier

8. Modeling of Cu(II) adsorption on the activated Phragmites australis waste by fuzzy-based and neural network-based inference systems

Elver O., Aydın Temel F., CAĞCAĞ YOLCU Ö., Akbal F., Kuleyin A.
Journal of Industrial and Engineering Chemistry , cilt.129, ss.180-192, 2024 (SCI-Expanded) identifier

9. Combination of ANNs and heuristic algorithms in modelling and optimizing of Fenton processes for industrial wastewater treatment

Cüce H., CAĞCAĞ YOLCU Ö., Aydın Temel F.
International Journal of Environmental Science and Technology , cilt.20, sa.6, ss.6065-6078, 2023 (SCI-Expanded) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

10. A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series

CAĞCAĞ YOLCU Ö., YOLCU U.
Expert Systems with Applications , cilt.215, 2023 (SCI-Expanded) identifier identifier

11. Artificial intelligence and machine learning approaches in composting process: A review

Aydın Temel F., CAĞCAĞ YOLCU Ö., Turan N. G.
Bioresource Technology , cilt.370, 2023 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

12. Modelling and optimization of sewage sludge composting using biomass ash via deep neural network and genetic algorithm

Dogan H., Aydın Temel F., CAĞCAĞ YOLCU Ö., Turan N. G.
Bioresource Technology , cilt.370, 2023 (SCI-Expanded) identifier identifier identifier

13. Modeling and optimization of process parameters in co-composting of tea waste and food waste: Radial basis function neural networks and genetic algorithm

Yılmaz E. C., Aydın Temel F., CAĞCAĞ YOLCU Ö., Turan N. G.
Bioresource Technology , cilt.363, 2022 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

14. Evaluation of a cascade artificial neural network for modeling and optimization of process parameters in co-composting of cattle manure and municipal solid waste

Bayindir Y., CAĞCAĞ YOLCU Ö., TEMEL F. A., TURAN N. G.
JOURNAL OF ENVIRONMENTAL MANAGEMENT , cilt.318, 2022 (SCI-Expanded) identifier identifier identifier

15. A hybrid sigma-pi neural network for combined intuitionistic fuzzy time series prediction model

Arslan S. N., CAĞCAĞ YOLCU Ö.
NEURAL COMPUTING & APPLICATIONS , cilt.34, sa.15, ss.12895-12917, 2022 (SCI-Expanded) identifier identifier

16. A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting

Kirisci M., CAĞCAĞ YOLCU Ö.
NEURAL PROCESSING LETTERS , cilt.54, sa.4, ss.3357-3374, 2022 (SCI-Expanded) identifier identifier

17. Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm

Kabak E. T., CAĞCAĞ YOLCU Ö., TEMEL F. A., TURAN N. G.
CHEMICAL ENGINEERING JOURNAL , cilt.437, 2022 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

18. Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.
APPLIED SOFT COMPUTING , cilt.116, 2022 (SCI-Expanded) identifier identifier

19. Modelling and optimization of Fenton processes through neural network and genetic algorithm

Cuce H., TEMEL F. A., Yolcu Ö.
KOREAN JOURNAL OF CHEMICAL ENGINEERING , cilt.38, sa.11, ss.2265-2278, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

20. Identifying the maturity of co-compost of olive mill waste and natural mineral materials: Modelling via ANN and multi-objective optimization

Aycan Dumenci N., Cagcag Yolcu Ö., Aydin Temel F., TURAN N. G.
BIORESOURCE TECHNOLOGY , cilt.338, 2021 (SCI-Expanded) identifier identifier identifier

21. Modelling and optimization of Fenton processes through neural network and genetic algorithm

Cağcağ Yolcu Ö.
Korean Journal Of Chemical Engineering , sa.38, ss.2265-2278, 2021 (SCI-Expanded)

22. New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks

CAĞCAĞ YOLCU Ö., TEMEL F. A., KULEYİN A.
JOURNAL OF CLEANER PRODUCTION , cilt.311, 2021 (SCI-Expanded) identifier identifier

23. A multilayer perceptron-based prediction of ammonium adsorption on zeolite from landfill leachate: Batch and column studies

Temel F. A., Yolcu Ö., Kuleyin A.
JOURNAL OF HAZARDOUS MATERIALS , cilt.410, 2021 (SCI-Expanded) identifier identifier identifier

24. Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network

Yolcu U., Egrioglu E., Bas E., Yolcu Ö., Dalar A. Z.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE , cilt.33, sa.3, ss.383-404, 2021 (SCI-Expanded) identifier identifier

25. A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network

Kocak C., Dalar A. Z., Yolcu Ö., Bas E., Egrioglu E.
SOFT COMPUTING , cilt.24, sa.11, ss.8243-8252, 2020 (SCI-Expanded) identifier identifier

26. A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction

Yolcu Ö., Bas E., Egrioglu E., Yolcu U.
SOFT COMPUTING , cilt.24, sa.11, ss.8211-8222, 2020 (SCI-Expanded) identifier identifier

27. Consciousness level determination of red meat consumption ofpregnant women, Giresun/Turkey province

BALPETEK KÜLCÜ D., CAĞCAĞ YOLCU Ö.
Journal of Mind and Medical Sciences , cilt.7, sa.1, ss.79-84, 2020 (ESCI) Sürdürülebilir Kalkınma identifier

28. Intuitionistic time series fuzzy inference system

Egrioglu E., Bas E., Yolcu Ö., Yolcu U.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , cilt.82, ss.175-183, 2019 (SCI-Expanded) identifier identifier

29. Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling

Yolcu Ö., Bas E., Egrioglu E., Yolcu U.
NEURAL PROCESSING LETTERS , cilt.47, sa.3, ss.1133-1147, 2018 (SCI-Expanded) identifier identifier

30. Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process

Yolcu Ö., Alpaslan F.
APPLIED SOFT COMPUTING , cilt.66, ss.18-33, 2018 (SCI-Expanded) identifier identifier

31. A combined robust fuzzy time series method for prediction of time series

Yolcu Ö., Lam H.
NEUROCOMPUTING , cilt.247, ss.87-101, 2017 (SCI-Expanded) Creative Commons License identifier identifier

32. High order fuzzy time series forecasting method based on an intersection operation

Yolcu Ö., YOLCU U., Egrioglu E., ALADAĞ Ç. H.
APPLIED MATHEMATICAL MODELLING , cilt.40, sa.19-20, ss.8750-8765, 2016 (SCI-Expanded) identifier identifier

33. A New Robust Regression Method Based on Particle Swarm Optimization

Cagcag Ö., YOLCU U., Egrioglu E.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS , cilt.44, sa.6, ss.1270-1280, 2015 (SCI-Expanded) identifier identifier

34. The forecasting of Istanbul stock exchange by using a hybrid fuzzy time series approach

CAĞCAĞ YOLCU Ö.
Turkish Journal of Fuzzy Systems , cilt.5, sa.1, ss.10-26, 2014 (Hakemli Dergi)

35. An enhanced fuzzy time series forecasting method based on artificial bee colony

YOLCU U., Cagcag Ö., ALADAĞ Ç. H., Egrioglu E.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , cilt.26, sa.6, ss.2627-2637, 2014 (SCI-Expanded) identifier identifier

36. Fuzzy Time Series Method Based on Multiplicative Neuron Model and Membership Values

EĞRİOĞLU E., ALADAĞ Ç. H., YOLCU U., BURÇİN ŞEYDA Ç., CAĞCAĞ YOLCU Ö.
American Journal of Intelligent Systems , cilt.3, sa.1, ss.33-39, 2013 (Hakemli Dergi)

37. A Novel Seasonal Fuzzy Time Series Method to the Forecasting of Air Pollution Data in Ankara

Eğrioğlu E., Aladağ Ç. H., Yolcu U., Burçin Şeyda Ç., Cağcağ Yolcu Ö.
American Journal of Intelligent Systems , cilt.3, sa.1, ss.13-19, 2013 (Hakemli Dergi)

38. A Hybrid Fuzzy Time Series Approach Based on Fuzzy Clustering and Artificial Neural Network with Single Multiplicative Neuron Model

Yolcu Ö.
MATHEMATICAL PROBLEMS IN ENGINEERING , cilt.2013, 2013 (SCI-Expanded) Creative Commons License identifier identifier

39. A Seasonal Fuzzy Time Series Forecasting Method Based on Gustafson Kessel Fuzzy Clustering

ALPASLAN F., CAĞCAĞ YOLCU Ö.
Journal of Social and Ekonomic Statistics , cilt.2, sa.1, ss.1-13, 2012 (Hakemli Dergi)

40. İstanbul Temiz Su Tüketiminin Bulanık Zaman Serisi Yaklaşımları ile Öngörüsü

ALPASLAN F., CAĞCAĞ YOLCU Ö., İLTER D., YOLCU U.
TÜİK İstatistik Araştırma Dergisi , cilt.9, sa.2, ss.1-11, 2012 (Hakemli Dergi)

41. A novel seasonal fuzzy time series method

Alpaslan F., Cagcag Ö., ALADAĞ Ç. H., Yolcu U., Egrioglu E.
Hacettepe Journal of Mathematics and Statistics , cilt.41, sa.3, ss.375-385, 2012 (SCI-Expanded) identifier identifier

42. Reduction of patient waiting time by simulations in Ondokuz Mayis University Medical Faculty, Department of Neurosurgery

Alpaslan F., Cag̈cag̈ Ö., Eg̈riog̈lu E.
Scientific Research and Essays , cilt.6, sa.5, ss.1063-1070, 2011 (SCI-Expanded) identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 41

1. A Novel Time Series Forecasting Model Based on Single-Valued Neutrosophic Sets

YOLCU U., BAŞ E., EĞRİOĞLU E., CAĞCAĞ YOLCU Ö.
11. International Statistics Congress – ISC2019, İstanbul, Türkiye, 4 - 08 Ekim 2019, ss.476-483, (Tam Metin Bildiri)

2. Multivariate Intuitionistic Fuzzy Inference System for Time Series Prediction

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.
11. International Statistics Congress – ISC2019, Muğla, Türkiye, 4 - 08 Ekim 2019, ss.465-475, (Tam Metin Bildiri)

3. Financial Time Series Prediction via Convolutional Neural Network

Melih K., CAĞCAĞ YOLCU Ö.
11. International Statistics Congress – ISC2019, Muğla, Türkiye, 4 - 08 Ekim 2019, ss.952, (Tam Metin Bildiri)

4. A New Time Series Prediction Method Based on Intuitionistic Fuzzy C-Means And Sigma Pi Neural Network

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E.
International Days of Statistics and Economics 2019, Prag, Çek Cumhuriyeti, 5 - 07 Eylül 2019, ss.231-240, (Tam Metin Bildiri)

5. Bivariate Intuitionistic Fuzzy Time Series Prediction Model

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.
Young Business and Industrial Statisticians Workshop on Recent Advances in Data Science and Business Analytics - y-BIS 2019, İstanbul, Türkiye, 25 - 28 Eylül 2019, ss.103-109, (Tam Metin Bildiri)

6. A NEW TIME SERIES PREDICTION METHOD BASED ON INTUITIONISTIC FUZZY C MEANS AND SIGMA PI NEURAL NETWORK

Yolcu Ö., Bas E., Egrioglu E.
13th International Days of Statistics and Economics, Prague, Çek Cumhuriyeti, 5 - 07 Eylül 2019, ss.231-240, (Tam Metin Bildiri) identifier

7. Zaman Serisi Tahmininde Tek Çarpımsal Sinir Hücresi Yapay Sinir Ağının Eğitimi için Bazı Dayanıklı Yaklaşımlar

CAĞCAĞ YOLCU Ö.
19th International Symposium on Econometrics, Operations Research and Statistics, Antalya, Türkiye, 17 - 20 Ekim 2018, ss.448-457, (Tam Metin Bildiri)

8. Çoklu-Melez Öğrenme Algoritmasına Sahip Çarpımsal Sinir Hücresi Yapay Sinir Ağına Dayalı Yeni Bir Bulanık Zaman Serisi Öngörü Yöntemi

CAĞCAĞ YOLCU Ö., YOLCU U.
19th International Symposium on Econometrics, Operations Research and Statistics, Antalya, Türkiye, 17 - 20 Ekim 2018, ss.1058-1070, (Tam Metin Bildiri)

9. An Intuitionistic Fuzzy Time Series Prediction Method based on Sigma-Pi Neural Network

YOLCU U., EĞRİOĞLU E., BAŞ E., CAĞCAĞ YOLCU Ö.
11. International Statistics Days Conference (ISDC2018), 3 - 07 Ekim 2018, ss.412-422, (Tam Metin Bildiri)

10. The Use of Some Loss Functions in Fuzzy Time Series Forecasting Problem

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E., YOLCU U.
11. International Statistics Days Conference (ISDC2018), 3 - 07 Ekim 2018, ss.1004-1015, (Tam Metin Bildiri)

11. Advanced Time Series Prediction Methods

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.
4th Global Summit and Expo on Multimedia Artificial Intelligence, ROMA, İtalya, 19 - 21 Temmuz 2018, (Özet Bildiri)

12. Bootstrapped fuzzy time series model based on particle swarm optimization

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.
4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), 28 - 30 Nisan 2018, cilt.189, (Özet Bildiri)

13. An intuitionistic fuzzy time series forecasting model based on BAT algorithm

YOLCU U., BAŞ E., EĞRİOĞLU E., CAĞCAĞ YOLCU Ö.
4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), 28 - 30 Nisan 2018, ss.190, (Özet Bildiri)

14. Bootstrapped linear and nonlinear artificial neural network for time series forecasting

EĞRİOĞLU E., YOLCU U., BAŞ E., CAĞCAĞ YOLCU Ö., DALAR A. Z.
4th International German Probability and Statistics Days, Freiburg, Almanya, 27 Şubat - 02 Mart 2018, ss.152, (Özet Bildiri)

15. Recurrent Fuzzy Regression Functions Approach based on IID Innovations Bootstrap with Rejection Sampling

DALAR A. Z., BAŞ E., EĞRİOĞLU E., YOLCU U., CAĞCAĞ YOLCU Ö.
10th INTERNATIONALSTATISTICS CONGRESS, Ankara, Türkiye, 6 - 08 Aralık 2017, ss.10, (Özet Bildiri)

16. An Application of Single Multiplicative Neuron Model Artificial Neural Network with Adaptive Weights and Biases based on Autoregressive Structure

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E., YOLCU U.
10th INTERNATIONALSTATISTICS CONGRESS, Ankara, Türkiye, 6 - 08 Aralık 2017, ss.85, (Özet Bildiri)

17. Robust Single Multiplicative Neuron Model Artificial Neural Network with Adaptive Weights and Biases for Forecasting

YOLCU U., EĞRİOĞLU E., BAŞ E., DALAR A. Z., CAĞCAĞ YOLCU Ö.
I. International Symposium on Economics, Finance, and Econometrics, İstanbul, Türkiye, 21 - 23 Eylül 2017, (Özet Bildiri)

18. A New Intuitionistic Fuzzy Functions Approach based on IID Bootstrap for Time Series Prediction

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., KOÇAK C., YOLCU U.
I. International Symposium on Economics, Finance, and Econometrics, İstanbul, Türkiye, 21 - 23 Eylül 2017, (Özet Bildiri)

19. A NEW INTUITIONISTIC FUZZY FUNCTIONS APPROACH BASED ON HESITATION MARGIN FOR TIME SERIES PREDICTION

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E., YOLCU U.
EUREFE’17 International Conference, Aydın, Türkiye, 27 - 29 Temmuz 2017, cilt.1, ss.314-315, (Özet Bildiri)

20. A MULTI-COMPONENT HYBRID LEARNING ALGORITHM FOR MULTIPLICATIVE NEURON MODEL ARTIFICIAL NEURAL NETWORKS

YOLCU U., EĞRİOĞLU E., BAŞ E., DALAR A. Z., CAĞCAĞ YOLCU Ö.
EUREFE’17 International Conference, Aydın, Türkiye, 27 - 29 Temmuz 2017, cilt.1, ss.316-317, (Özet Bildiri)

21. A New Intuitionistic Time Series Fuzzy Inference System

CAĞCAĞ YOLCU Ö., BAŞ E., YOLCU U., EĞRİOĞLU E.
3rd INTERNATIONAL RESEARCHERS,STATISTICIANS ANDYOUNG STATISTICIANS CONGRESS, Konya, Türkiye, 24 - 26 Mayıs 2017, ss.29, (Özet Bildiri)

22. A Robust Fuzzy Time Series Model for Time Series Forecasting Problems

CAĞCAĞ YOLCU Ö.
10th International Statistics Days Conference (ISDC'2016), Giresun, Türkiye, 7 - 09 Ekim 2016, ss.305-314, (Tam Metin Bildiri)

23. A High Order Fuzzy Time Series Method for Time Series Prediction

CAĞCAĞ YOLCU Ö.
10th International Statistics Days Conference (ISDC'2016), Giresun, Türkiye, 7 - 09 Ekim 2016, ss.670-678, (Tam Metin Bildiri)

24. A New Fuzzy Time Series Approach based on Recurrent Pi Sigma Neural Network

KOÇAK C., DALAR A. Z., CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E.
International Conference On Trends And Perspectives In Linear Statistical Inference, İstanbul, Türkiye, 22 - 25 Ağustos 2016, (Özet Bildiri)

25. A new dynamic neural network for BIST100 Modelling

EĞRİOĞLU E., YOLCU U., CAĞCAĞ YOLCU Ö., BAŞ E.
1st International Balck Sea Business Administration Symposium, Giresun, Türkiye, 16 - 19 Mayıs 2016, ss.602-611, (Tam Metin Bildiri)

26. A Hybrid Approach for Robust Training of Single Multiplicative Neuron Model Artificial Neural Networks

BAŞ E., EĞRİOĞLU E., CAĞCAĞ YOLCU Ö., YOLCU U.
1st International Balck Sea Business Administration Symposium, Giresun, Türkiye, 16 - 19 Mayıs 2016, ss.471-480, (Tam Metin Bildiri)

27. The Type 1 Fuzzy Functions Approach Based On Artificial Neural Networks For Forecasting

CAĞCAĞ YOLCU Ö., BAŞ E.
International Journal of Arts & Sciences’ (IJAS) International Conference for Technology and Science, Paris, Fransa, 13 - 16 Nisan 2015, cilt.9, ss.191-192, (Özet Bildiri)

28. A Robust Algorithm for Training of Multiplicative Neuron Model Artificial Neural Networks

CAĞCAĞ YOLCU Ö., BAŞ E.
International Journal of Arts & Sciences’ (IJAS) International Conference for Technology and Science, Paris, Fransa, 13 - 16 Nisan 2015, cilt.9, ss.189-190, (Özet Bildiri)

29. A High Order Fuzzy Time Series Forecasting Model Based on Fuzzy C means and Artificial Neural Networks

CAĞCAĞ YOLCU Ö., BAŞ E.
International Work-Conference on Time Series Analysis (ITISE 2015), Granada, Nikaragua, 1 - 03 Temmuz 2015, (Özet Bildiri)

30. A New Artificial Neural Network Model based on Trimmed Multiplicative Neuron Model to Determine Fuzzy Relations

CAĞCAĞ YOLCU Ö., BAŞ E.
Global Conference On Computer Science, Software, Networks & Engineering, Aydın, Türkiye, 6 - 08 Kasım 2014, (Özet Bildiri)

31. The Training of Artificial Neural Networks with Multiplicative Neuron Model Based On Differential Evolution Algorithm for Forecasting

CAĞCAĞ YOLCU Ö., BAŞ E.
Global Conference On Computer Science, Software, Networks & Engineering, Aydın, Türkiye, 6 - 08 Kasım 2014, (Özet Bildiri)

32. A Robust Fuzzy Time Series Approach

CAĞCAĞ YOLCU Ö., BAŞ E.
International Journal of Arts and Sciences Conference for Academic Discipline, Viyana, Avusturya, 6 - 10 Nisan 2014

33. A Hybrid Fuzzy Time Series Approach for Forecasting Exchange Market of Istanbul

CAĞCAĞ YOLCU Ö., BAŞ E.
8th International Statistics Congress, Antalya, Türkiye, 27 - 30 Ekim 2013, (Tam Metin Bildiri)

34. An Improved High Order Fuzzy Time Series Approach

CAĞCAĞ YOLCU Ö., BAŞ E.
8th International Statistics Congress, Antalya, Türkiye, 27 - 30 Ekim 2013, (Tam Metin Bildiri)

35. A Novel Hybrid Fuzzy Time Series Approach

CAĞCAĞ YOLCU Ö., BAŞ E.
The 3rd International Fuzzy Systems Symposium (FUZZYSS'13), İstanbul, Türkiye, 24 - 25 Ekim 2013, (Tam Metin Bildiri) identifier

36. Forecasting Of Stock Market Exchange Based On A New Fuzzy Time Series Approaches

CAĞCAĞ YOLCU Ö., BAŞ E.
XIVth International Symposium on Econometrics, Operation Research and Statistics, Sarayova, Bosna-Hersek, 24 - 28 Mayıs 2013, (Özet Bildiri)

37. Literature review of fuzzy time series and application of fuzzy time series to euro exchange data

CAĞCAĞ YOLCU Ö., BAŞ E.
8th International Symposium of Statistics, Eskişehir, Türkiye, 11 - 13 Ekim 2012, (Özet Bildiri)

38. Mevsimsel Bulanık Zaman Serilerinin Çözümlenmesinde Yeni Bir Yaklaşım

CAĞCAĞ YOLCU Ö., BAŞ E.
13th International Conference on Econometrics, Operations Research and Statistics (ICEOS-2012), Famagusta, Kıbrıs (Kktc), 24 - 26 Mayıs 2012, (Özet Bildiri)

39. Üyelik Değerlerine ve Çarpımsal Nöron Modele Dayalı Bulanık Zaman Serisi Yaklaşımı

CAĞCAĞ YOLCU Ö., BAŞ E.
13th International Conference on Econometrics, Operations Research and Statistics (ICEOS-2012), Famagusta, Kıbrıs (Kktc), 24 - 26 Mayıs 2012, (Özet Bildiri)

40. A novel seasonal fuzzy time series method

ALPASLAN F., CAĞCAĞ YOLCU Ö., ALADAĞ Ç. H., YOLCU U., EĞRİOĞLU E.
FUZZYSS'11: The Second Internatıonal Fuzzy Systems Symposıum, 17 - 18 Kasım 2011, (Tam Metin Bildiri)

41. Ondokuz Mayıs Üniversitesi Tıp Fakültesi Beyin Cerrahisi Polikliniğinde Hasta Bekleme Süresinin Azaltılması

CAĞCAĞ YOLCU Ö., BAŞ E.
VII. İstatistik Günleri Sempozyumu, Famagusta, Türkiye, 28 - 30 Haziran 2010, (Özet Bildiri)
Kitaplar 1

1. A Fuzzy Time Series Approach Based on GeneticAlgorithm with Single Analysis Process

CAĞCAĞ YOLCU Ö.
Advances in Time Series Forecasting - Volume 2, Cagdas Hakan Aladag, Editör, Bentham Science Publishers Ltd, Sharjah, ss.93-110, 2017
Metrikler

Yayın

84

Yayın (WoS)

37

Yayın (Scopus)

36

Atıf (WoS)

445

H-İndeks (WoS)

15

Atıf (Scopus)

677

H-İndeks (Scopus)

17

Atıf (Scholar)

797

H-İndeks (Scholar)

20

Proje

6

Tez Danışmanlığı

5

Açık Erişim

3
BM Sürdürülebilir Kalkınma Amaçları