Gözde Ulutagay

发表

C × K-Nearest Neighbor Classification with Ordered Weighted Averaging Distance

E. Nasibov, Gözde Ulutagay, 2016 .

Classification with fuzzy OWA distance

Gözde Ulutagay, Suzan Kantarci, 2014, 2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014).

ON FUZZY NEIGHBORHOOD BASED CLUSTERING ALGORITHM WITH LOW COMPLEXITY

E. Nasibov, Gözde Ulutagay, 2013 .

Influence of transitive closure complexity in FJP-based clustering algorithms

E. Nasibov, Gözde Ulutagay, 2010 .

On the analysis of BIS stage epochs via fuzzy clustering

M. Özgören, E. Nasibov, Gözde Ulutagay, 2010, Biomedizinische Technik. Biomedical engineering.

Construction and analysis of clustering algorithms based on fuzzy relations and their applications to EEG data

Gözde Ulutagay, 2009 .

Detection of BIS stage levels via fuzzy clustering approach

E. Nasibov, Gözde Ulutagay, 2009, 2009 14th National Biomedical Engineering Meeting.

Foreign Ownership and Financial Performance Relationship: Evidence from Turkey

Gözde Ulutagay, F. Ecer, 2011 .

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

V. Kreinovich, Gözde Ulutagay, 2011 .

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

E. Nasibov, Gözde Ulutagay, F. Ecer, 2014, Soft Computing.

A new unsupervised approach for fuzzy clustering

Efendi N. Nasibov, Gözde Ulutagay, E. Nasibov, 2007, Fuzzy Sets Syst..

Ranking Fuzzy Numbers and Its Extensions

Tofigh Allahviranloo, Ronald R. Yager, Saeid Abbasbandy, 2013 .

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Diego Cabrera, Chuan Li, Gözde Ulutagay, 2018, J. Intell. Fuzzy Syst..

Theoretical examination of clustering structure in fuzzy joint points method

Gözde Ulutagay, Gözde Ulutagay, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Comparative clustering analysis of bispectral index series of brain activity

Efendi N. Nasibov, Gözde Ulutagay, E. Nasibov, 2010, Expert Syst. Appl..

On Cluster Analysis Based on Fuzzy Relations Between Spatial Data

Efendi N. Nasibov, Gözde Ulutagay, E. Nasibov, 2007, EUSFLAT Conf..

An Extension of Fuzzy L‐R Data Classification with Fuzzy OWA Distance

Gözde Ulutagay, Suzan Kantarci, Gözde Ulutagay, 2015, Int. J. Intell. Syst..

Robustness of density-based clustering methods with various neighborhood relations

Efendi N. Nasibov, Gözde Ulutagay, E. Nasibov, 2009, Fuzzy Sets Syst..

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

Efendi N. Nasibov, Gözde Ulutagay, E. Nasibov, 2012, J. Intell. Fuzzy Syst..

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

Efendi N. Nasibov, Gözde Ulutagay, Fatih Ecer, 2015, Soft Comput..

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

Vladik Kreinovich, Gözde Ulutagay, V. Kreinovich, 2013, WCSC.

Modeling and analysis: power injection model approach for high performance of electrical distribution networks

Sameer Algburi, Baraa Jalil Abdulelah, Yousif Ismail Mohammed Al-Mashhadany, 2021, Bulletin of Electrical Engineering and Informatics.

Classification of Thyroid Disease by Using Data Mining Models: A Comparison of Decision Tree Algorithms

Gözde Ulutagay, Ebru Turanoglu-Bekar, Suzan Kantarcı-Savas, 2016 .

Challenges and possible solutions to density based clustering

Gözde Ulutagay, Fatma Gunseli Yasar, Gözde Ulutagay, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

Low Level Laser Therapy on Treating Hair Loss

Gözde Ulutagay, Rabab Ibrahim, 2020 .