Applying Rough Set Theory and Grey Theory in Multi-attribute Decision Making Methods for the Evaluation and Selection of ERP Systems

Enterprise resource planning systems by facilitation and integration of organizations’ operations as well as leveraging the organization's operations and business activities has become an important competitive advantage for organizations. Although the appropriate choose of an ERP system can greatly contribute to the success of the organization, inappropriate selection of ERP also can lead to irreparable damages and costs. Therefore, in this study we have tried to use a multi-attribute decision-making model to evaluate and select the most appropriate ERP system. Since decision makers turn to “uncertain preferences” to evaluate the criteria and alternatives, applying Rough Set and the Gray Set theories in the context of multi-attribute decision-making models seems more logical and consistent. The findings indicate that the “total cost” a sub-criteria of product characteristics and “system technical capabilities” a sub-criteria of system requirements are the most significant criteria and the “A۶” is the most significant alternative.

Keywords:

Enterprise resource planning , Gray Analytic Hierarchy Process , Gray Vikor , Grey set theory , Rough Set Theory