| Fuzzy analytic hierarchy process with interval type-2 fuzzy sets C Kahraman, B Öztayşi, İU Sarı, E Turanoğlu Knowledge-Based Systems 59, 48-57, 2014 | 537 | 2014 |
| Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis E Turanoglu Bekar, M Cakmakci, C Kahraman Journal of Business Economics and Management 17 (5), 663-684, 2016 | 129 | 2016 |
| An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study ET Bekar, P Nyqvist, A Skoogh Advances in Mechanical Engineering 12 (5), 1687814020919207, 2020 | 75 | 2020 |
| Fuzzy acceptance sampling and characteristic curves E Turanoğlu, İ Kaya, C Kahraman International Journal of Computational Intelligence Systems 5 (1), 13-29, 2012 | 49 | 2012 |
| Classification of thyroid disease by using data mining models: a comparison of decision tree algorithms E Turanoglu-Bekar, G Ulutagay, S Kantarcı-Savas Oxford Journal of Intelligent Decision and Data Sciences 2, 13-28, 2016 | 44 | 2016 |
| Usage of metaheuristics in engineering: A literature review O Senvar, E Turanoglu, C Kahraman Meta-heuristics optimization algorithms in engineering, business, economics …, 2013 | 41 | 2013 |
| A prognostic algorithm to prescribe improvement measures on throughput bottlenecks M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, ET Bekar Journal of Manufacturing Systems 53, 271-281, 2019 | 23 | 2019 |
| Fuzzy multiattribute consumer choice among health insurance options C Kahraman, A Suder, ET Bekar Technological and Economic Development of Economy 22 (1), 1-20, 2016 | 23 | 2016 |
| A fuzzy design of single and double acceptance sampling plans C Kahraman, ET Bekar, O Senvar Intelligent Decision Making in Quality Management: Theory and Applications …, 2016 | 20 | 2016 |
| Particle swarm optimization and artificial bee colony approaches to optimize of single input-output fuzzy membership functions E Turanoglu, E Ozceylan, MS Kiran Proceedings of the 41st international conference on computers & industrial …, 2011 | 20 | 2011 |
| Prediction of Industry 4.0’s Impact on Total Productive Maintenance Using a Real Manufacturing Case E Turanoglu Bekar, A Skoogh, N Cetin, O Siray Proceedings of the International Symposium for Production Research 2018 18 …, 2019 | 18* | 2019 |
| Usability and usefulness of circularity indicators for manufacturing performance management FS Syu, A Vasudevan, M Despeisse, A Chari, ET Bekar, MM Gonçalves, ... Procedia CIRP 105, 835-840, 2022 | 17 | 2022 |
| An ANFIS Algorithm for Forecasting Overall Equipment Effectiveness Parameter in Total Productive Maintenance. ET Bekar, M Cakmakci, C Kahraman Journal of Multiple-Valued Logic & Soft Computing 25 (6), 2015 | 15 | 2015 |
| Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry P Savolainen, J Magnusson, M Gopalakrishnan, ET Bekar, A Skoogh IFAC-PapersOnLine 53 (3), 95-100, 2020 | 13 | 2020 |
| Measuring efficiency of total productive maintenance (TPM) with newly developed performance measures using fuzzy data envelopment analysis ET Bekar, C Kahraman Proceed-ings of the World Congress on Engineering 1, 2016 | 11 | 2016 |
| Oil consumption forecasting in Turkey using artificial neural network E Turanoglu, O Senvar, C Kahraman International Journal of Energy Optimization and Engineering (IJEOE) 1 (4 …, 2012 | 10 | 2012 |
| Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method C Lundgren, E Turanoglu Bekar, M Bärring, J Stahre, A Skoogh, ... International Journal of Computer Integrated Manufacturing 35 (1), 69-90, 2022 | 9 | 2022 |
| Challenges in data life cycle management for sustainable cyber-physical production systems M Despeisse, ET Bekar IFIP International Conference on Advances in Production Management Systems …, 2020 | 9 | 2020 |
| Fuzzy analytic hierarchy process with interval type-2 fuzzy sets KCÖBS İU, E Turanoğlu Knowl Based Syst 59, 48-57, 2014 | 9 | 2014 |
| A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing H Kurrewar, ET Bekar, A Skoogh, P Nyqvist Advances in Production Management Systems. Artificial Intelligence for …, 2021 | 5 | 2021 |
Cengiz KahramanIstanbul Technical UniversityVerified email at itu.edu.tr
