fuzzy multi-criteria selection procedures in choosing data source

Technology assessment and selection has a substantial impact on the organization procedures in regard to technology transfer. technological decisions are usually made by a group of experts, and whereby, integrity of these viewpoints to a single decision can be quite complex. today, operational databases and data warehouses exist to manage and organize data with specific features, and henceforth, the need for a decisionaid approach is essential. the process of developing data warehouses involves time-consuming steps, complex queries, slow query response rates, and limited functions, which is also true for operational databases. in this regard, fuzzy multi-criteria procedures used to choose efficient data sources (data warehouse and traditional relational databases) based on organization requirements are addressed in this paper. in proposing an appropriate selection framework, the paper compares a triangular fuzzy number (tfn)-based framework and a fuzzy analytical hierarchy process (ahp) based on data source models, business logic, data access, storage, and security. the results obtained show that the two procedures rank data sources in a similar manner and due to an accurate decision-making.