Title :
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
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;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1468826
