Gözde Ulutagay

According to our database, Gözde Ulutagay authored at least 17 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

On parameter adjustment of the fuzzy neighborhood-based clustering algorithms.

Fatma Günseli Yasar Çiklaçandir, Gözde Ulutagay, Semih Utku, Efendi N. Nasibov

Turkish J. Electr. Eng. Comput. Sci., 2019

2018

A comparison of fuzzy clustering algorithms for bearing fault diagnosis.

Chuan Li, Mariela Cerrada, Diego Cabrera, René-Vinicio Sánchez, Fannia Pacheco, Gözde Ulutagay, José Valente de Oliveira

J. Intell. Fuzzy Syst., 2018

2016

ANFIS Modeling for Forecasting Oil Consumption of Turkey.

Özlem Senvar, Gözde Ulutagay, Ebru Turanoglu Bekar

J. Multiple Valued Log. Soft Comput., 2016

Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications.

Gözde Ulutagay, Ronald R. Yager, Bernard De Baets, Tofigh Allahviranloo

Adv. Fuzzy Syst., 2016

Combining the Information of Multiple Ranker in Ranked Set Sampling with Fuzzy Set Approach.

Bekir Çetintav, Selma Gürler, Neslihan Demirel, Gözde Ulutagay

Proceedings of the Soft Methods for Data Science, 2016

Challenges and possible solutions to density based clustering.

Fatma Gunseli Yasar, Gözde Ulutagay

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers.

Bekir Çetintav, Gözde Ulutagay, Selma Gürler, Neslihan Demirel

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

2015

Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study.

Gözde Ulutagay, Fatih Ecer, Efendi N. Nasibov

Soft Comput., 2015

An Extension of Fuzzy L-R Data Classification with Fuzzy OWA Distance.

Gözde Ulutagay, Suzan Kantarci

Int. J. Intell. Syst., 2015

2013

Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions.

Gözde Ulutagay, Vladik Kreinovich

Proceedings of the Advance Trends in Soft Computing, 2013

Theoretical examination of clustering structure in fuzzy joint points method.

Gözde Ulutagay

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review.

Gözde Ulutagay, Efendi N. Nasibov

J. Intell. Fuzzy Syst., 2012

OWA aggregation based CxK-nearest neighbor classification algorithm.

Gözde Ulutagay, Efendi N. Nasibov

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2010

Comparative clustering analysis of bispectral index series of brain activity.

Efendi N. Nasibov, Gözde Ulutagay

Expert Syst. Appl., 2010

2009

Robustness of density-based clustering methods with various neighborhood relations.

Efendi N. Nasibov, Gözde Ulutagay

Fuzzy Sets Syst., 2009

2007

A new unsupervised approach for fuzzy clustering.

Efendi N. Nasibov, Gözde Ulutagay

Fuzzy Sets Syst., 2007

On Cluster Analysis Based on Fuzzy Relations Between Spatial Data.

Efendi N. Nasibov, Gözde Ulutagay

Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007