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EXPRESSING NATURAL LANGUAGE INTO THE FUZZY SET FORM AND APPLYING THIS METHOD INTO IMAGE - CLASSIFICATION PROBLEMS FOR ELIMINATING NOISES

Le Hoai Bac 1
Tran Thai Son 1
Volume & Issue: Vol. 2 No. 2&3 (1999) | Page No.: 74-80 | DOI: 10.32508/stdj.v2i2&3.3621
Published: 1999-03-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

This article contains two parts: In the first part, we specifically introduce our methodology of expressing natural language into the form of fuzzy sets. Furthermore, in its second part, we completely present here two topics: how to apply the fuzzy contrast intensification to image - classification problems to eliminate noises efficiently, and some of our elementary results in the image - classification of bio-cells whose photographs are taken through a microscope.

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