Fuzzy Sugeno Algorithm for Clustering Document Management

  • Nikmatul Kamila L
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The administration process exists in every department of the company, and it has caused a large quantity of the documents. Before the documents are processed, the administration staff need to classify which document should be processed first. Because the clustering process has not integrated into a system, it takes a long time, and it caused the administration process got delayed. With this problem, it is expected the document management system using Fuzzy Sugeno will help to reduce the problems. Fuzzy Sugeno works on clustering the document by the value of the category and the acceptance input by the user. The Fuzzy Sugeno helps administration staff to know which documents are in high priority and low priority to prevent the delay of the administration process. The document management system using Fuzzy Sugeno is help the administration staff to process the documents efficiently and it is improving the administration process in the company.

Cite

CITATION STYLE

APA

Nikmatul Kamila, L. C. (2020). Fuzzy Sugeno Algorithm for Clustering Document Management. International Journal of Advanced Trends in Computer Science and Engineering, 9(1), 26–30. https://doi.org/10.30534/ijatcse/2020/05912020

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free