关注
Gözde Ulutagay
Gözde Ulutagay
Full Professor at Statistics Department, Ege University
在 ege.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Robustness of density-based clustering methods with various neighborhood relations
EN Nasibov, G Ulutagay
Fuzzy Sets and Systems 160 (24), 3601-3615, 2009
1072009
A comparison of fuzzy clustering algorithms for bearing fault diagnosis
C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ...
Journal of Intelligent & Fuzzy Systems 34 (6), 3565-3580, 2018
952018
A new unsupervised approach for fuzzy clustering
EN Nasibov, G Ulutagay
Fuzzy Sets and Systems 158 (19), 2118-2133, 2007
892007
Classification of thyroid disease by using data mining models: a comparison of decision tree algorithms
E Turanoglu-Bekar, G Ulutagay, S Kantarcı-Savas
Oxford Journal of Intelligent Decision and Data Sciences 2, 13-28, 2016
452016
Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review
G Ulutagay, E Nasibov
Journal of Intelligent & Fuzzy Systems 23 (6), 271-281, 2012
372012
Does foreign ownership affect financial performance? An industrial approach
F Ecer, G Ulutagay, E Nasiboglu
Middle Eastern Finance and Economics 14, 152-166, 2011
232011
FN-DBSCAN: A novel density-based clustering method with fuzzy neighborhood relations
G Ulutagay, E Nasibov
8th International Conference on Application of Fuzzy Systems and Soft …, 2008
212008
Comparative clustering analysis of bispectral index series of brain activity
EN Nasibov, G Ulutagay
Expert Systems with Applications 37 (3), 2495-2504, 2010
182010
Modeling and analysis: power injection model approach for high performance of electrical distribution networks
BJ Abdulelah, YIM Al-Mashhadany, S Algburi, G Ulutagay
Bulletin of Electrical Engineering and Informatics 10 (6), 2943-2952, 2021
172021
On the fuzzy joint points method for fuzzy clustering problem
EN Nasibov, G Ulutagay
Automatic Control and Computer Sciences 40 (5), 33-44, 2006
132006
A new approach to the problem of clustering using the fuzzy joint points method
EN Nasibov, G Ulutagay
Automatic Control and Computer Sciences 39 (6), 8-17, 2005
132005
Challenges and possible solutions to density based clustering
FG Yaşar, G Ulutagay
2016 IEEE 8th International Conference on Intelligent Systems (IS), 492-498, 2016
122016
Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study
G Ulutagay, F Ecer, E Nasibov
Soft Computing 19 (2), 449-458, 2015
122015
The reality of solid waste management in Iraq and ways of development
MA AL-MOHAMMED, G ULUTAGAY, WMS ALABDRABA
Tikrit Journal of Engineering Sciences 28 (3), 1-20, 2021
102021
On fuzzy neighborhood based clustering algorithm with low complexity
G Ulutagay, E Nasibov
Iranian Journal of Fuzzy Systems 10 (3), 1-20, 2013
92013
C× K-Nearest Neighbor Classification with Ordered Weighted Averaging Distance
G Ulutagay, E Nasibov
Novel Applications of Intelligent Systems, 105-122, 2016
82016
An Extension of Fuzzy LR Data Classification with Fuzzy OWA Distance
G Ulutagay, S Kantarci
International Journal of Intelligent Systems 30 (9), 1006-1020, 2015
82015
On the analysis of BIS stage epochs via fuzzy clustering
E Nasibov, M Özgören, G Ulutagay, A Öniz, S Kocaaslan
Walter de Gruyter 55 (3), 147-153, 2010
82010
Some preliminary results on the comparison of FCM, GK, FCMFP and FN-DBSCAN for bearing fault diagnosis
C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ...
2017 international conference on sensing, diagnostics, prognostics, and …, 2017
72017
Combining the information of multiple ranker in ranked set sampling with fuzzy set approach
B Cetintav, S Gurler, N Demirel, G Ulutagay
Soft Methods for Data Science, 121-126, 2017
52017
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