Fuzzy SOFM-GIS space cluster model and its application analysis

Author

Yang, Haidong ; Hu, Yueming ; Deng, Fei-qi ; Tian, Xian ; Li, Baoring

Author_Institution

Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China

Volume

1

fYear

2004

fDate

6-9 Dec. 2004

Firstpage

221

Abstract

The fuzzy SOFM-GIS space cluster model is a new cluster model based on theory of fuzzy, self-organizing feature map network and GIS. Fuzzy theory is used to solve uncertain problems. GIS is of strong space analysis ability. Self-organizing feature map network are of ability of strong self-learned, self-adaptive, error-permissive ability and model identification. The model is adapted to solve cluster problem of multiple objects under multi-index condition in fuzzy or uncertain systems and these systems are of space characteristic. It is used to classify the red soil resource in Zhejiang province. The results show that the model is stable and reliable.

Keywords

fuzzy set theory; geographic information systems; self-organising feature maps; statistical analysis; uncertain systems; GIS; error-permissive ability; fuzzy theory; geographic information systems; multi-index condition; red soil resource classification; self-organizing feature map network; space cluster model; uncertain systems; Agricultural engineering; Automation; Biological system modeling; Clustering algorithms; Educational institutions; Geographic Information Systems; Neurons; Soil; Space technology; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th

Print_ISBN

0-7803-8653-1

Type

conf

DOI

10.1109/ICARCV.2004.1468826

Filename

1468826