Data Mining Application Based on Cloud Model in Spatial Decision Support System

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 sys...

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Bibliographic Details
Published in:2008 ISECS International Colloquium on Computing, Communication, Control, and Management Vol. 1; pp. 547 - 551
Main Authors: Hong-li Wang, Li Meng, Mu-kun Cao, Yan Li
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2008
Subjects:
Artificial neural networks
Cloud Model
Data Mining
Data models
Decision support systems
Entropy
Mathematical model
Meteorology
Spatial Decision Support System
ISBN:076953290X, 9780769532905
ISSN:2154-9613
Online Access:Get full text
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Summary: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.
ISBN:076953290X
9780769532905
ISSN:2154-9613
DOI:10.1109/CCCM.2008.296