Fuzzy Soft Matrices Entropy: Application in Data-Reduction

Omdutt Sharma, Pratiksha Tiwari, Priti Gupta
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引用次数: 5

Abstract

This article describes how information technology and internet together infused organizations with huge amount of data. Consequently, accumulating, storing, understanding and analyzing data at a large scale is equally important and complex. Out of this data not all is information data, in order to extract information, one needs to discard redundant, irrelevant and unnecessary data. This article aims to introduce a data reduction technique which will be useful to discard irrelevant data. Here in data-reduction, the authors have used fuzzy-soft set techniques, namely fuzzy-soft information matrixes. Further, they have introduced a new fuzzy-soft information measure of fuzzy-soft matrixes.
模糊软矩阵熵:在数据约简中的应用
这篇文章描述了信息技术和互联网如何一起为组织注入大量数据。因此,大规模地积累、存储、理解和分析数据同样重要和复杂。从这些数据中不全是信息数据,为了提取信息,需要抛弃多余的、不相关的和不必要的数据。本文旨在介绍一种数据约简技术,该技术将有助于丢弃无关数据。在这里的数据约简中,作者使用了模糊软集技术,即模糊软信息矩阵。此外,他们还引入了一种新的模糊软矩阵的模糊软信息测度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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