| A combined methodology for supplier selection and performance evaluation M Zeydan, C Çolpan, C Çobanoğlu Expert systems with applications 38 (3), 2741-2751, 2011 | 470 | 2011 |
| A new decision support system for performance measurement using combined fuzzy TOPSIS/DEA approach M Zeydan, C Çolpan International Journal of Production Research 47 (15), 4327-4349, 2009 | 110 | 2009 |
| Modelling the woven fabric strength using artificial neural network and Taguchi methodologies M Zeydan International Journal of Clothing Science and Technology 20 (2), 104-118, 2008 | 53 | 2008 |
| Heuristic-based neural networks for stochastic dynamic lot sizing problem E Şenyiğit, M Düğenci, ME Aydin, M Zeydan Applied Soft Computing 13 (3), 1332-1339, 2013 | 36 | 2013 |
| Predicting the seam strength of notched webbings for parachute assemblies using the Taguchi's design of experiment and artificial neural networks L Onal, M Zeydan, M Korkmaz, S Meeran Textile Research Journal 79 (5), 468-478, 2009 | 26 | 2009 |
| A new hybrid decision making approach for housing suitability mapping of an urban area M Zeydan, B Bostancı, B Oralhan Mathematical Problems in Engineering 2018, 2018 | 17 | 2018 |
| Toplam kalite yönetimi ve tam zamanında üretim sisteminin entegrasyonu ve uygulanabilirliği O Çevik, M Zeydan MPM Verimlilik Dergisi, 93-112, 1998 | 12 | 1998 |
| The comparison of artificial intelligence and traditional approaches in FCCU modeling M Zeydan INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND …, 2008 | 11 | 2008 |
| Reducing variation of dyeing process in textile manufacturing industry M Zeydan, G Toğa International Journal of Materials and Textile Engineering 5 (11), 2272-2280, 2011 | 10 | 2011 |
| İşletme yaşam çevrimi bağlaminda yönetici-liderlik matriksi M Zeydan, A Akın Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi 24 (4), 155-173, 2011 | 10 | 2011 |
| Prediction of fabric tensile strength by modelling the woven fabric M Zeydan Woven Fabric Engineering 155, 925-933, 2010 | 10 | 2010 |
| Improvement of process conditions in acrylic fiber dyeing using gray-based Taguchi-neural network approach M Zeydan, D Yazıcı Neural Computing and Applications 25, 155-170, 2014 | 9 | 2014 |
| A rule-based decision support approach for site selection of Automated Teller Machines (ATMs) M Zeydan, S Kayserili Intelligent Decision Technologies 13 (2), 161-175, 2019 | 7 | 2019 |
| Decision making for site selection using fuzzy modeling B Bostancı, M Zeydan, M Çete, H Demir, A Karaağaç Journal of urban planning and development 143 (1), 05016010, 2017 | 6 | 2017 |
| BİR PETROL RAFİNERİSİ (TÜPRAŞ) AKIŞKAN YATAKLI KATALİTİK PARÇALAMA ÜNİTESİNİN (FCCU) BULANIK MODELLEME UYGULAMASI M Zeydan Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 10 (1), 101-110, 2004 | 5 | 2004 |
| Mekânsal bulanık karar destek sisteminin geliştirilmesi M Zeydan, B BOSTANCI, B Oralhan, D Eroğlu, U AYDINER Avrupa Bilim ve Teknoloji Dergisi, 418-429, 2020 | 4 | 2020 |
| A rule-based approach to sofa design with kansei engineering M ZEYDAN, Ö Abdurrahman Endüstri Mühendisliği 32 (1), 69-89, 2021 | 3 | 2021 |
| Optimization of flexible polyurethane foam hardness by reducing process variance M Zeydan Sigma Journal of Engineering and Natural Sciences 38 (4), 1851-1867, 2020 | 3 | 2020 |
| Economic order quantity with uncertain inflation: A case study M Zeydan, A Allahverdi International Journal of Industrial Engineering 13 (3), 320, 2006 | 3 | 2006 |
| A guide to lean six sigma management skills, by Howard S. Gitlow M Zeydan Taylor & Francis Group 48 (14), 4327-4328, 2010 | 2 | 2010 |
