E. T. Bekar Et Al. , "Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company," JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28, pp.375-407, 2017
Bekar, E. T. Et Al. 2017. Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28 , 375-407.
Bekar, E. T., ÇAKMAKÇI, M., & Kahraman, C., (2017). Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28, 375-407.
Bekar, Ebru, Mehmet ÇAKMAKÇI, And Cengiz Kahraman. "Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company," JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28, 375-407, 2017
Bekar, Ebru T. Et Al. "Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company." JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28, pp.375-407, 2017
Bekar, E. T. ÇAKMAKÇI, M. And Kahraman, C. (2017) . "Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company." JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING , vol.28, pp.375-407.
@article{article, author={Ebru Turanoglu Bekar Et Al. }, title={Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company}, journal={JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING}, year=2017, pages={375-407} }