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Fuzzy based decision making approach for big data research on health information management system

机译:基于模糊的卫生信息管理系统大数据研究决策方法

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摘要

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.
机译:在当前地区,各种健康数据集管理被认为是更加无形的,需要保护,因为这些数据集有几个科学事实和思想,从而提高了人类生活方式的质量。虽然保护是健康数据集系统中的重要参数,但以有效的方式管理这些健康数据反映了高端研究领域。虽然传统的数据库管理系统具有自己的个性化功能,但导致不同的生存状态,传统方法无法以有效且有效的方式管理数据库管理系统中的健康数据集。在这项工作中,通过基于模糊的决策方法引入了提高了大数据管理启发式算法,用于使用模糊的决策方法来实现数据管理策略的可行性。然后,评估的替代方案以具有若干级别的分层结构排列,并且在实验验证上量化每个级别标准的加权函数显示有希望在数据管理中的效率和准确性方面的结果。

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