On Cluster Analysis Based on Fuzzy Relations Between Spatial Data. - Efendi N. Nasibov; Gözde Ulutagay (EUSFLAT Conf. (2), 2007)

A new unsupervised approach for fuzzy clustering. - Efendi N. Nasibov; Gözde Ulutagay (Fuzzy Sets Syst., 2007)

Robustness of density-based clustering methods with various neighborhood relations. - Efendi N. Nasibov; Gözde Ulutagay (Fuzzy Sets Syst., 2009)

Comparative clustering analysis of bispectral index series of brain activity. - Efendi N. Nasibov; Gözde Ulutagay (Expert Syst. Appl., 2010)

OWA aggregation based CxK-nearest neighbor classification algorithm. - Gözde Ulutagay; Efendi N. Nasibov (IEEE Conf. of Intelligent Systems, 2012)

Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review. - Gözde Ulutagay; Efendi N. Nasibov (J. Intell. Fuzzy Syst., 2012)

Theoretical examination of clustering structure in fuzzy joint points method. - Gözde Ulutagay (IFSA/NAFIPS, 2013)

Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions. - Gözde Ulutagay; Vladik Kreinovich (WCSC, 2013)

An Extension of Fuzzy L-R Data Classification with Fuzzy OWA Distance. - Gözde Ulutagay; Suzan Kantarci (Int. J. Intell. Syst., 2015)

Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study. - Gözde Ulutagay; Fatih Ecer; Efendi N. Nasibov (Soft Comput., 2015)

Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers. - Bekir Çetintav; Gözde Ulutagay; Selma Gürler; Neslihan Demirel (IPMU (2), 2016)

Challenges and possible solutions to density based clustering. - Fatma Gunseli Yasar; Gözde Ulutagay (IEEE Conf. on Intelligent Systems, 2016)

Combining the Information of Multiple Ranker in Ranked Set Sampling with Fuzzy Set Approach. - Bekir Çetintav; Selma Gürler; Neslihan Demirel; Gözde Ulutagay (SMPS, 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)

ANFIS Modeling for Forecasting Oil Consumption of Turkey. - Özlem Senvar; Gözde Ulutagay; Ebru Turanoglu Bekar (J. Multiple Valued Log. Soft Comput., 2016)

A comparison of fuzzy clustering algorithms for bearing fault diagnosis. - Chuan Li 003; Mariela Cerrada; Diego Cabrera 001; René-Vinicio Sánchez; Fannia Pacheco; Gözde Ulutagay; José Valente de Oliveira (J. Intell. Fuzzy Syst., 2018)

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)

Novel α-divergence measures on picture fuzzy sets and interval-valued picture fuzzy sets with diverse applications. - Sijia Zhu; Zhe Liu 041; Gözde Ulutagay; Muhammet Deveci; Dragan Pamucar (Eng. Appl. Artif. Intell., 2024)

Robust vector-weighted and matrix-weighted multi-view hard c-means clustering. - Zhe Liu 041; Sarah Samah Aljohani; Sijia Zhu; Tapan Senapati; Gözde Ulutagay; Salma Haque; Nabil Mlaiki (Intell. Syst. Appl., 2025)

Novel distance measures on complex picture fuzzy environment: applications in pattern recognition, medical diagnosis and clustering. - Sijia Zhu; Zhe Liu 041; Sukumar Letchmunan; Gözde Ulutagay; Kifayat Ullah 001 (J. Appl. Math. Comput., 2025)

Correction: Novel distance measures on complex picture fuzzy environment: applications in pattern recognition, medical diagnosis and clustering. - Sijia Zhu; Zhe Liu 041; Sukumar Letchmunan; Gözde Ulutagay; Kifayat Ullah 001 (J. Appl. Math. Comput., 2025)