Referanslar

• Alpers, S., Becker, C., Eryilmaz, E., & Schuster, T. (2014). A Systematic Approach for Evaluation and Selection of ERP Systems. Lecture Notes in Business Information Processing. google scholar
• Ayağ & R. G. Özdemİr (2007) An intelligent approach to ERP software selection through fuzzy ANP, International Journal of Production Research, 45:10, 2169-2194, DOI: 10.1080/00207540600724849 google scholar
• Azadeh, A., Shirkouhi, S. N., & Rezaie, K. (2010). A robust decision-making methodology for evaluation and selection of simulation software package. Int J Adv Manuf Technol, 47, 381-393. google scholar
• Benlian, A., & Hess, T. (2011). Comparing the relative importance of evaluation criteria in proprietary and open-source enterprise application software selection - a conjoint study of ERP and Office systems. Info Systems J, 503-525. google scholar
• Çakır, S. (2016). Selecting appropriate ERP software using integrated fuzzy linguistic preference relations Fuzzy TOPSIS Method. International Journal of Computational Intelligence Systems, 9(3), 433-449. google scholar
• Çalişkan, E., Aksakal, E., Çetinyokuş, S., & Çetinyokuş, T. (2019). Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection. International Journal of Information Technology & Decision Making, 18(5), 1689-1715. google scholar
• Eastham, David James Tucker, Sumir Varma & Scott Matthew Sutton (2014) PLM Software Selection Model for Project Management Using Hierarchical Decision Modeling With Criteria From PMBOK® Knowledge Areas, Engineering Management Journal, 26:3, 13-24. google scholar
• Efe, An Integrated Fuzzy Multi-Criteria Group Decision Making Approach for ERP System Selection, Applied Soft Computing Journal (2015) google scholar
• Fumagalli, Adalberto Polenghi, Elisa Negri & Irene Roda (2019) Framework for simulation software selection, Journal of Simulation, 13(4), 286-303. google scholar
• Garg, H., Vimala, J., Rajareega, S., Preethi, D., & Perez-Dominguez, L. (2022). Complex intuitionistic fuzzy soft SWARA - COPRAS approach: An application of ERP software selection. AIMS Mathematics, 7(4), 5895-5909. google scholar
• Ghulam Zakria, Z. G. (2010). We are selecting and prioritizing key factors for CAD/CAM software in small- and medium-sized enterprises using AHP. Front. Mech. Eng. China, 5(2), 157-164. google scholar
• Guezguez, W., Zaini, R., & Quqandi, E. (tarih yok). A multi-criteria decision-making model for software selection to build e-portfolio. 2015 Fifth International Conference on e-Learning. google scholar
• Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi criteria decision making AHP TOPSIS methodology for ETL software selection. SpringerPlus 5. google scholar
• Hidalgo, A., Albors, J., & Gomez, L. (2011). ERP Software Selection Processes: A Case Study in the Metal Transformation Sector. Intelligent Information Management, 1-16. google scholar
• Jadhav, A. S., & Sonar, R. M. (2009a). Evaluating and selecting software packages: A review. Information and Software Technology, 51, 555-563. google scholar
• Jadhav, A., & Sonar, R. (2009b). Analytic Hierarchy Process (AHP), Weighted Scoring Method (WSM), and Hybrid Knowledge Based System (HKBS) for Software Selection: A Comparative Study. Second International Conference on Emerging Trends in Engineering and Technology. google scholar
• Jadhava, A. S., & Sonar, R. M. (2011). Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach. The Journal of Systems and Software, 84, 1394-1407. google scholar
• Kannan, A. S., Balamurugan, S. A., & Sasikala, S. (2019). A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making. IEEE Transactions on Engineering Management. google scholar
• Khaled, A., & Idrissi, M. A. (2011). A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context. Communications in Computer and Information Science. google scholar
• Li, Z.-H. (2014). An Extension of the MULTIMOORA Method for Multiple Criteria Group Decision Making Based upon Hesitant Fuzzy Sets. Hindawi Publishing Corporation Journal of Applied Mathematics. google scholar
• Madenoğlu, F. S. (2021). Bütünleşik Entropi-COPRAS Yöntemi ile KKP Yazılımının Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 19(4), 14-29. google scholar
• Maram, V., Sultan, S. J., Omar, M. B., & Bommisetty, V. N. (2019). Selection of Software in Manufacturing Operations Using Analytic Hierarchy Process. AIP Conference Proceedings 2138, 040016. google scholar
• Mas-Tur, A., Roig-Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M., ... & Merigo, J. M. (2021). Co-citation, bibliographic coupling, and leading authors, institutions, and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165, 120487. google scholar
• Misra, S. K., & Ray, A. (2013). Integrated AHP-TOPSIS Model for Software Selection Under Multi-criteria Perspective. Driving the Economy through Innovation and Entrepreneurship, 879-890. google scholar
• Mollaoglu, M., Altay, B. C., & Balin, A. (2023). Bibliometric Review of Route Optimization in Maritime Transportation: Environmental Sustainability and Operational Efficiency. Transportation Research Record, 03611981221150922. google scholar
• Nikoukaran, J., & Paul, R. J. (1999). Software selection for simulation in manufacturing: a review. Simulation Practice and Theory, 7, 1-14. google scholar
• Nikoukaran, J., Hlupic, V., & Paul, R. J. (1998). Criteria for Simulation Software Evaluation. Proceedings of the 1998 Winter Simulation Conference. google scholar
• Nikoukaran, J., Hlupic, V., & Paul, R. J. (1999). A hierarchical framework for evaluating simulation software. Simulation Practice and Theory, 7, 219-231. google scholar
• Oglu, S. V. (2020). Software Selection Based of Sugeno Integral. Scholarly Publisher RS Global, 7(59). google scholar
• Oglu, S. V. (2022). Selectiın of Software on Base of Fuzzy TOPSIS Method. Scholarly Publisher RS Global, 3(75). google scholar
• Oglu, S. V., & Qizi, D. J. (2021). Software Selection on Base of Fuzzy AHP Method. International Academy Journal Web of Scholar, 1(21). google scholar
• Okudan, G. (2006). A multi-criteria decision-making methodology for optimum selection of a solid modeller for design teaching and practice. Journal of Engineering Design, 17(2), 159-175. google scholar
• Omerali & Tolga Kaya | (2022) Augmented Reality Application Selection Framework Using Spherical Fuzzy COPRAS Multi-Criteria Decision Making, Cogent Engineering, 9:1, 2020610 google scholar
• Rouhani, (2017)," A fuzzy superiority and inferiority ranking based approach for IT service management software selection ", Kybernetes, 46(4). google scholar
• Rouhani, A., & Ravasan, A. Z. (2014). A Fuzzy TOPSIS based Approach for ITSM Software Selection. International Journal of IT/Business Alignment and Governance, 5(2). google scholar
• Secundo, G., Magarielli, D., Esposito, E., & Passiante, G. (2017). Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach. Business Process Management Journal, 23(1), 196-222. google scholar
• Seker, S., & Kahraman, C. (2022). A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problems. Soft Computing, 26, 2437-2450. google scholar
• Small, H. G., & Koenig, M. E. (1977). Journal clustering using a bibliographic coupling method. Information processing & management, 13(5), 277-288. google scholar
• Stemberger, Vesna Bosilj-Vuksic & MojcaIndihar Jaklic (2009) Business Process Management Software Selection - Two Case Studies, Economic Research- Ekonomskalstrazivanja, 22:4, 84-99 google scholar
• Şen, A. Y., Semiz, N., Güneş, B., Algül, D., Gergin, Z., & Dönmez, N. D. (2019). The Selection of a Process Management Software with Fuzzy Topsis Multiple Criteria Decision Making Method. Proceedings of the International Symposium for Production Research 2018, 150-167. google scholar
• Şen, C. G., & Baraçlı, H. (2010). Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements. Expert Systems with Applications, 37, 3415-3426. google scholar
• Şen, C. G., Baraçlı, H., Şen, S., & Başlıgil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36, 5272-5283. google scholar
• Tolga, C. (2018). Evaluation of ERP software with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science, 22(5), 1351-1370. google scholar
• Tuş, A., & Adalı, E. A. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. OPSEARCH. Yurtyapan, M. S., & Aydemir, E. (2022). ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method. Grey Systems: Theory and Application, 12(1), 78-100. google scholar
• Zaidan, B.B. Zaidan, Hussaen Muzamel, Ahmed Haiqi, M.L. Mat Kiah, Mohamed Abdulnabi, Multi-Criteria Analysis for OS-EMR Software Selection Problem: A Comparative Study, Decision Support Systems (2015) google scholar

Atıflar