Comparison of enterprise resource planning systems with intuitionistic fuzzy TOPSIS method

Enterprise Resource Planning (ERP) is an information system used to integrate business processes, increase efficiency and support decision-making processes in medium and large-scale institutions and organizations. In this study, the selection process of ERP systems is analyzed using the heuristic fuzzy TOPSIS method. TOPSIS is a multi-criteria decision analysis method that can be expressed as the Order of Preference Technique by Similarity to the Ideal Solution. Heuristic Fuzzy TOPSIS is a combination of fuzzy logic and TOPSIS methods and can be used effectively in the analysis of complex and uncertain data. The main purpose of the thesis is to guide the decision-making process by using the intuitive fuzzy TOPSIS method while choosing the most suitable ERP system for the needs of the organizations. For this, the performance of ERP systems determined as an alternative is evaluated according to different criteria. The heuristic fuzzy TOPSIS method determines a score for each ERP system using these performance evaluations and helps select the most suitable one. In this study, the opinions of experts with twenty years or more of experience in the ERP world were evaluated. The results show that the heuristic fuzzy TOPSIS method can be used effectively in the ERP selection process and provides organizations with a valuable tool for decision making. This thesis study makes an important contribution to improve decision-making processes in the field of enterprise resource planning and to assist organizations in choosing ERP. It also provides a practical guide for professionals working in the field of enterprise resource planning, while laying a foundation for future research.