Fuzzy based decision making approach for big data research on health information management system
| Autor: | Yuhui Bai, Baogang Bai |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
020205 medical informatics
General Computer Science business.industry Computer science Data management media_common.quotation_subject Big data Computational intelligence 02 engineering and technology Machine learning computer.software_genre Fuzzy logic Weighting 020204 information systems Management system 0202 electrical engineering electronic engineering information engineering Quality (business) Artificial intelligence business Function (engineering) computer media_common |
| Zdroj: | Journal of Ambient Intelligence and Humanized Computing. 12:3363-3371 |
| ISSN: | 1868-5145 1868-5137 |
| Popis: | In the present area of various health datasets management are considered as more intangible and needs protection because those datasets has several scientific facts and ideas which improves quality of human’s way of living. Though protection is the significant parameter in health datasets system, managing those health data in an efficient way reflects high end area of research. Though the traditional database management system have its own personalized feature, resulted in the different survival state, Traditional approaches fails to manage health datasets in database management system in an effective and efficient way. In this work improved big data management heuristic algorithm has been introduced for the feasibility of data management strategy using fuzzy based decision making approach. Then the evaluated alternatives are arranged in a hierarchical structure with several levels, and the weighting function of each level criterion is quantified on experimental validation shown promising results in terms of efficiency and accuracy in data management. |
| Databáze: | OpenAIRE |
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