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ORCIDGözde Ulutagay
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2020 – today
- 2024
[j11]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: 109041 (2024)
2010 – 2019
- 2019
- [j10]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): 2093-2105 (2019) - 2018
- [j9]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): 3565-3580 (2018) - 2016
- [j8]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: 3931582:1-3931582:2 (2016) - [j7]Özlem Senvar, Gözde Ulutagay, Ebru Turanoglu Bekar:
ANFIS Modeling for Forecasting Oil Consumption of Turkey. J. Multiple Valued Log. Soft Comput. 26(6): 609-624 (2016) - [c7]Bekir Çetintav, Gözde Ulutagay, Selma Gürler, Neslihan Demirel:
Mean Estimation Based on FWA Using Ranked Set Sampling with Single and Multiple Rankers. IPMU (2) 2016: 790-797 - [c6]Fatma Gunseli Yasar, Gözde Ulutagay:
Challenges and possible solutions to density based clustering. IEEE Conf. on Intelligent Systems 2016: 492-498 - [c5]Bekir Çetintav, Selma Gürler, Neslihan Demirel, Gözde Ulutagay:
Combining the Information of Multiple Ranker in Ranked Set Sampling with Fuzzy Set Approach. SMPS 2016: 121-126 - 2015
- [j6]Gözde Ulutagay, Suzan Kantarci:
An Extension of Fuzzy L-R Data Classification with Fuzzy OWA Distance. Int. J. Intell. Syst. 30(9): 1006-1020 (2015) - [j5]Gözde Ulutagay, Fatih Ecer, Efendi N. Nasibov:
Performance evaluation of industrial enterprises via fuzzy inference system approach: a case study. Soft Comput. 19(2): 449-458 (2015) - 2013
- [c4]Gözde Ulutagay:
Theoretical examination of clustering structure in fuzzy joint points method. IFSA/NAFIPS 2013: 496-501 - [c3]Gözde Ulutagay, Vladik Kreinovich:
Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions. WCSC 2013: 357-372 - 2012
- [j4]Gözde Ulutagay, Efendi N. Nasibov:
Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review. J. Intell. Fuzzy Syst. 23(6): 271-281 (2012) - [c2]Gözde Ulutagay, Efendi N. Nasibov:
OWA aggregation based CxK-nearest neighbor classification algorithm. IEEE Conf. of Intelligent Systems 2012: 219-224 - 2010
- [j3]Efendi N. Nasibov, Gözde Ulutagay:
Comparative clustering analysis of bispectral index series of brain activity. Expert Syst. Appl. 37(3): 2495-2504 (2010)
2000 – 2009
- 2009
- [j2]Efendi N. Nasibov, Gözde Ulutagay:
Robustness of density-based clustering methods with various neighborhood relations. Fuzzy Sets Syst. 160(24): 3601-3615 (2009) - 2007
- [j1]Efendi N. Nasibov, Gözde Ulutagay:
A new unsupervised approach for fuzzy clustering. Fuzzy Sets Syst. 158(19): 2118-2133 (2007) - [c1]Efendi N. Nasibov, Gözde Ulutagay:
On Cluster Analysis Based on Fuzzy Relations Between Spatial Data. EUSFLAT Conf. (2) 2007: 59-62
Coauthor Index
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