On the nearest parametric approximation of a fuzzy number EN Nasibov, S Peker Fuzzy Sets and systems 159 (11), 1365-1375, 2008 | 107 | 2008 |
Robustness of density-based clustering methods with various neighborhood relations EN Nasibov, G Ulutagay Fuzzy Sets and Systems 160 (24), 3601-3615, 2009 | 102 | 2009 |
A new unsupervised approach for fuzzy clustering EN Nasibov, G Ulutagay Fuzzy Sets and Systems 158 (19), 2118-2133, 2007 | 87 | 2007 |
Cyberbullying detection: Utilizing social media features A Bozyiğit, S Utku, E Nasibov Expert Systems with Applications 179, 115001, 2021 | 83 | 2021 |
Efficiency analysis of KNN and minimum distance-based classifiers in enzyme family prediction E Nasibov, C Kandemir-Cavas Computational biology and chemistry 33 (6), 461-464, 2009 | 65 | 2009 |
Public transport route planning: Modified dijkstra's algorithm A Bozyiğit, G Alankuş, E Nasiboğlu 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 61 | 2017 |
Fuzzy domain and meta-heuristic algorithm-based collision avoidance control for ships: Experimental validation in virtual and real environment R Fiskin, O Atik, H Kisi, E Nasibov, TA Johansen Ocean Engineering 220, 108502, 2021 | 51 | 2021 |
A knowledge-based framework for two-dimensional (2D) asymmetrical polygonal ship domain R Fiskin, E Nasiboglu, MO Yardimci Ocean Engineering 202, 107187, 2020 | 47 | 2020 |
Estimation of traffic congestion level via fn-dbscan algorithm by using gps data AC Diker, E Nasibov 2012 IV International Conference" Problems of Cybernetics and Informatics …, 2012 | 42 | 2012 |
Using OWA aggregation technique in QFD: a case study in education in a textile engineering department A Okur, EN Nasibov, M Kiliç, M Yavuz Quality & Quantity 43, 999-1009, 2009 | 42 | 2009 |
Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review G Ulutagay, E Nasibov Journal of Intelligent & Fuzzy Systems 23 (6), 271-281, 2012 | 35 | 2012 |
Cyberbullying detection by using artificial neural network models A Bozyiğit, S Utku, E Nasiboğlu 2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019 | 31 | 2019 |
Protein subcellular location prediction using optimally weighted fuzzy k-NN algorithm E Nasibov, C Kandemir-Cavas Computational biology and chemistry 32 (6), 448-451, 2008 | 26 | 2008 |
On methods of defuzzification of parametrically represented fuzzy numbers EN Nasibov, A Mert Automatic Control and Computer Sciences 41, 265-273, 2007 | 25 | 2007 |
Does foreign ownership affect financial performance? An industrial approach F Ecer, G Ulutagay, E Nasiboglu Middle Eastern Finance and Economics 14, 152-166, 2011 | 23 | 2011 |
Aggregation of fuzzy values in linear programming problems E Nasibov Automatic control and computer sciences 37 (2), 2003 | 22 | 2003 |
Certain integral characteristics of fuzzy numbers and a visual interactive method for choosing the strategy of their calculation EN Nasibov JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL C/C OF TEKHNICHESKAIA …, 2002 | 21 | 2002 |
Deadhead trip minimization in city bus transportation: A real life application E Nasibov, U Eliiyi, MÖ Ertaç, Ü Kuvvetli Promet-Traffic&Transportation 25 (2), 137-145, 2013 | 20 | 2013 |
Fuzzy least squares regression model based of weighted distance between fuzzy numbers EN Nasibov Automatic Control and computer sciences 41, 10-17, 2007 | 20 | 2007 |
FN-DBSCAN: A novel density-based clustering method with fuzzy neighborhood relations G Ulutagay, E Nasibov 8th International Conference on Application of Fuzzy Systems and Soft …, 2008 | 19 | 2008 |