DocumentCode :
475661
Title :
Data Mining Application Based on Cloud Model in Spatial Decision Support System
Author :
Wang, Hong-li ; Meng, Li ; Cao, Mu-kun ; Li, Yan
Author_Institution :
Sch. of Economic & Manage., Zhongyuan Univ. of Technol., Zhongyuan
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
547
Lastpage :
551
Abstract :
It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension cloud model is given to represent the knowledge stored in knowledge database in space decision support system. Then knowledge induction method based on multi-dimension cloud model is proposed. Lastly a case in space environment decision is given to verify the methodpsilas validity. Contrast to previous method, the innovation of method is that the complete knowledge representation and induction based on cloud model with the merit of representing multi-dimension, fuzzy and random knowledge is given.
Keywords :
data mining; decision support systems; knowledge representation; data mining; fuzzy knowledge; knowledge database; knowledge induction; knowledge representation; multidimension cloud model; random knowledge; space decision; space environment decision; spatial decision support system; uncertain problems; Artificial neural networks; Clouds; Cognition; Data mining; Decision support systems; Fuzzy systems; Knowledge representation; Mathematics; Multidimensional systems; Space technology; Cloud Model; Data Mining; Spatial Decision Support System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.296
Filename :
4609571
Link To Document :
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