Gözde Ulutagay

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 10

Top Topics

Clustering Algorithm

Parameter Adjustment

Fault Diagnosis

Top Venues

Adv. Fuzzy Syst.

Int. J. Intell. Syst.

Publications

Sijia Zhu, Zhe Liu, Gözde Ulutagay, Muhammet Deveci, Dragan Pamucar
Novel α-divergence measures on picture fuzzy sets and interval-valued picture fuzzy sets with diverse applications. Eng. Appl. Artif. Intell. 136 (2024)
Fatma Günseli Yasar Çiklaçandir, Gözde Ulutagay, Semih Utku, Efendi N. Nasibov
On parameter adjustment of the fuzzy neighborhood-based clustering algorithms. Turkish J. Electr. Eng. Comput. Sci. 27 (3) (2019)
Chuan Li, Mariela Cerrada, Diego Cabrera, René-Vinicio Sánchez, Fannia Pacheco, Gözde Ulutagay, José Valente de Oliveira
A comparison of fuzzy clustering algorithms for bearing fault diagnosis. J. Intell. Fuzzy Syst. 34 (6) (2018)
Gözde Ulutagay, Ronald R. Yager, Bernard De Baets, Tofigh Allahviranloo
Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications. Adv. Fuzzy Syst. 2016 (2016)
Fatma Gunseli Yasar, Gözde Ulutagay
Challenges and possible solutions to density based clustering. IEEE Conf. on Intelligent Systems (2016)
Bekir Çetintav, Selma Gurler, Neslihan Demirel, Gözde Ulutagay
Combining the Information of Multiple Ranker in Ranked Set Sampling with Fuzzy Set Approach. SMPS (2016)
Bekir Çetintav, Gözde Ulutagay, Selma Gurler, Neslihan Demirel
Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers. IPMU (2) (2016)
Özlem Senvar, Gözde Ulutagay, Ebru Turanoglu Bekar
ANFIS Modeling for Forecasting Oil Consumption of Turkey. J. Multiple Valued Log. Soft Comput. 26 (6) (2016)
Gözde Ulutagay, Suzan Kantarci
An Extension of Fuzzy L-R Data Classification with Fuzzy OWA Distance. Int. J. Intell. Syst. 30 (9) (2015)
Gözde Ulutagay, Fatih Ecer, Efendi N. Nasibov
Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study. Soft Comput. 19 (2) (2015)
Gözde Ulutagay, Vladik Kreinovich
Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions. WCSC (2013)
Gözde Ulutagay
Theoretical examination of clustering structure in fuzzy joint points method. IFSA/NAFIPS (2013)
Gözde Ulutagay, Efendi N. Nasibov
OWA aggregation based CxK-nearest neighbor classification algorithm. IEEE Conf. of Intelligent Systems (2012)
Gözde Ulutagay, Efendi N. Nasibov
Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review. J. Intell. Fuzzy Syst. 23 (6) (2012)
Efendi N. Nasibov, Gözde Ulutagay
Comparative clustering analysis of bispectral index series of brain activity. Expert Syst. Appl. 37 (3) (2010)
Efendi N. Nasibov, Gözde Ulutagay
Robustness of density-based clustering methods with various neighborhood relations. Fuzzy Sets Syst. 160 (24) (2009)
Efendi N. Nasibov, Gözde Ulutagay
On Cluster Analysis Based on Fuzzy Relations Between Spatial Data. EUSFLAT Conf. (2) (2007)
Efendi N. Nasibov, Gözde Ulutagay
A new unsupervised approach for fuzzy clustering. Fuzzy Sets Syst. 158 (19) (2007)