A fuzzy classification system and its application

Author

Zhang, Hui-Min ; Han, Li-qun ; Wang, Zhong

Author_Institution

Dept. of Inf. Eng., Armored Force Eng. Acad., Beijing, China

Volume

4

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

2582

Abstract

This paper proposes a fuzzy classification system and its application in tobacco leaves grading. The mathematic description of the fuzzy classification model is given out, and we discuss the fuzzy membership function to calculate the membership of the feature of the pattern and how to obtain the confidence of the feature vector. We also discuss the technique to standardize the pattern space and the optimization of the class spaces. And then the fuzzy reasoning technique in the classification system is provided. Finally, we apply this fuzzy classification model in the tobacco leaves grading system (TGS) to show the efficiency, and conduct experiments and comparison with different methods to prove that the TGS have the similar grading ability as a human expert in practice.

Keywords

fuzzy logic; fuzzy systems; inference mechanisms; pattern classification; tobacco industry; feature vector; fuzzy classification system; fuzzy membership function; fuzzy reasoning technique; pattern recognition; tobacco leaves grading system; Feature extraction; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Mathematical model; Mathematics; Object recognition; Pattern recognition; Production systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259951

Filename

1259951