Information Classified Recognition Method Based on Fuzzy Control

Author

Ding, Shi-fei ; Shi, Zhong-zhi ; Zhu, Xi-jun

Author_Institution

Coll. of Inf. Sci. & Eng., Shandong Agric. Univ., Taian

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

474

Lastpage

478

Abstract

In this paper, an information pattern recognition method based on fuzzy control is set up. On one hand, the modeling method of fuzzy information classified recognition pattern has been established. On the other hand, the data from Qufu City of Shandong Province during 14 years from 1990 to 2003 is processed and analyzed. The average temperature (degC) and rainfall (mm) in April each year are considered as the input of the system, a number of Aphis gossypii Glover (AGG) occurred for the cotton in high period are considered as the output. Fuzzy information classified recognition pattern is set up in order to recognize the occurrence degree of the AGG. The results of the returning recognition from 1990 to 2003 and the recognition for 2004 are satisfactory

Keywords

agriculture; cotton; data analysis; forecasting theory; fuzzy control; fuzzy systems; pattern classification; Aphis gossypii Glover; cotton; fuzzy control; fuzzy information classified recognition pattern; Consumer products; Cybernetics; Educational institutions; Frequency; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Machine learning; Pattern recognition; Predictive models; Vehicle dynamics; Classified recognition pattern; Fuzzy control; Pattern recognition; The Aphis gossypii Glover (AGG);

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259117

Filename

4028111