Ebru Turanoglu Bekar
Cited by
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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
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
Fuzzy acceptance sampling and characteristic curves
E Turanoğlu, İ Kaya, C Kahraman
International Journal of Computational Intelligence Systems 5 (1), 13-29, 2012
Usage of metaheuristics in engineering: A literature review
O Senvar, E Turanoglu, C Kahraman
Meta-heuristics optimization algorithms in engineering, business, economics …, 2013
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
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
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
Fuzzy analytic hierarchy process with Type-2 fuzzy sets
Uncertainty Modeling in Knowledge Engineering and Decision Making, 201-206, 2012
A fuzzy design of single and double acceptance sampling plans
C Kahraman, ET Bekar, O Senvar
Intelligent decision making in quality management, 179-211, 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
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
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
Prediction of Industry 4.0’s Impact on Total Productive Maintenance Using a Real Manufacturing Case
ET Bekar, A Skoogh, N Cetin, O Siray
The International Symposium for Production Research, 136-149, 2018
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
ANFIS Modeling for Forecasting Oil Consumption of Turkey.
O Senvar, G Ulutagay, E TURANOGLU BEKAR
Journal of Multiple-Valued Logic & Soft Computing 26 (6), 2016
Forecasting oil consumption of Turkey using adaptive neuro-fuzzy inference system (ANFIS)
O Senvar, G Ulutagay, ET Bekar
Intelligent systems and decision making for risk analysis and crisis …, 2013
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
Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company.
ET Bekar, M Cakmakci, C Kahraman
Journal of Multiple-Valued Logic & Soft Computing 28, 2017
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
KANBAN optimization in relationship between industry 4.0 and project management approach
M Cakmakci, M Kucukyasar, ES Aydin, B Aktas, MB Sarikaya, ET Bekar
Agile Approaches for Successfully Managing and Executing Projects in the …, 2019
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