Gözde Ulutagay
Gözde Ulutagay
Full Professor at Industrial Engineering, Istanbul Gedik University
Verified email at gedik.edu.tr
Title
Cited by
Cited by
Year
Robustness of density-based clustering methods with various neighborhood relations
EN Nasibov, G Ulutagay
Fuzzy Sets and Systems 160 (24), 3601-3615, 2009
772009
A new unsupervised approach for fuzzy clustering
EN Nasibov, G Ulutagay
Fuzzy Sets and Systems 158 (19), 2118-2133, 2007
762007
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
532018
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
262012
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
202016
Does foreign ownership affect financial performance? An industrial approach
F Ecer, G Ulutagay, E Nasiboglu
Middle Eastern Finance and Economics 14, 152-166, 2011
162011
Comparative clustering analysis of bispectral index series of brain activity
EN Nasibov, G Ulutagay
Expert Systems with Applications 37 (3), 2495-2504, 2010
162010
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
On the fuzzy joint points method for fuzzy clustering problem
EN Nasibov, G Ulutagay
Automatic Control and Computer Sciences 40 (5), 33-44, 2006
122006
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
92015
On fuzzy neighborhood based clustering algorithm with low complexity
G Ulutagay, E Nasibov
Iranian Journal of Fuzzy Systems 10 (3), 1-20, 2013
82013
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
82008
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
72010
Challenges and possible solutions to density based clustering
FG Yaşar, G Ulutagay
2016 IEEE 8th International Conference on Intelligent Systems (IS), 492-498, 2016
62016
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
52017
Mean estimation based on fwa using ranked set sampling with single and multiple rankers
B Cetintav, G Ulutagay, S Gurler, N Demirel
International Conference on Information Processing and Management of …, 2016
42016
C× K-Nearest Neighbor Classification with Ordered Weighted Averaging Distance
G Ulutagay, E Nasibov
Novel Applications of Intelligent Systems, 105-122, 2016
42016
Forecasting oil consumption of Turkey using adaptive neuro-fuzzy inference system (ANFIS)
O Senvar, G Ulutagay, ET Bekar
Intelligent systems and decision making for risk analysis and crisis …, 2013
42013
OWA aggregation based CxK-nearest neighbor classification algorithm
G Ulutagay, E Nasibov
2012 6th IEEE International Conference Intelligent Systems, 219-224, 2012
42012
Influence of transitive closure complexity in FJP-based clustering algorithms
G Ulutagay, EN Nasibov
Turkish Journal of Fuzzy Systems 1 (1), 3-20, 2010
42010
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Articles 1–20