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Fuzzy Soft Matrices Entropy: Application in Data-Reduction

Fuzzy Soft Matrices Entropy: Application in Data-Reduction

Omdutt Sharma, Pratiksha Tiwari, Priti Gupta
Copyright: © 2018 |Volume: 7 |Issue: 3 |Pages: 20
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781522546276|DOI: 10.4018/IJFSA.2018070104
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MLA

Sharma, Omdutt, et al. "Fuzzy Soft Matrices Entropy: Application in Data-Reduction." IJFSA vol.7, no.3 2018: pp.56-75. http://doi.org/10.4018/IJFSA.2018070104

APA

Sharma, O., Tiwari, P., & Gupta, P. (2018). Fuzzy Soft Matrices Entropy: Application in Data-Reduction. International Journal of Fuzzy System Applications (IJFSA), 7(3), 56-75. http://doi.org/10.4018/IJFSA.2018070104

Chicago

Sharma, Omdutt, Pratiksha Tiwari, and Priti Gupta. "Fuzzy Soft Matrices Entropy: Application in Data-Reduction," International Journal of Fuzzy System Applications (IJFSA) 7, no.3: 56-75. http://doi.org/10.4018/IJFSA.2018070104

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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.

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