Fuzzy multi-criteria selection procedures in choosing data source | ||
| Journal of AI and Data Mining | ||
| مقاله 3، دوره 4، شماره 2، مهر 2016، صفحه 143-156 اصل مقاله (1.41 M) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.5829/idosi.JAIDM.2016.04.02.03 | ||
| نویسندگان | ||
| E. Azhir1؛ N. Daneshpour* 2؛ Sh. Ghanbari3 | ||
| 1Department of Computer Engineering, Qazvin Azad University, Qazvin, Iran. | ||
| 2Department of Computer, Shahid Rajaee Teacher Training University, Tehran, Iran. | ||
| 3IRIB Technical Research Center, Tehran, Iran. | ||
| چکیده | ||
| Technology assessment and selection has a substantial impact on organizations procedures in regards 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 decision-aid 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 regards, Fuzzy multi-criteria procedures in choosing efficient data sources (data warehouse and traditional relational databases) based on organization requirements is addressed in this paper. In proposing an appropriate selection framework the paper compares a Triangular Fuzzy Numbers (TFN) based framework and Fuzzy Analytical Hierarchy Process (AHP), based on data sources models, business logic, data access, storage and security. Results show that two procedures rank data sources in a similar manner and due to the accurate decision-making. | ||
| کلیدواژهها | ||
| Analytical hierarchy process؛ data warehouse؛ fuzzy؛ Multi-Criteria Decision-Making؛ operational database | ||
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