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A cloud based fuzzy approach for spatial site selection  in decision support system 
作者姓名:FU Xiao-xi  Byeong-Seob You  XIA Ying  Gyung-Bae Kim  Hae-Young Bae
作者单位:[1]Sino-Korea Chongqing GIS Research Center, College of Computer Science, Chongqing University of Posts and Telecommunications,Chongqing 400065, P. R. China [2]Department of Computer Science and Information Engineering, Inha University,Incheon 402-751, Korea [3]Department of Computer Education, Seowon University,Chungbuk 361-742, Korea
基金项目:This research is supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute of Information Technology Assessment)
摘    要:In decision support system for spatial site selection, the fuzzy synthetic evaluation is a useful way. However, the method can’t pay attention to the randomness in factors. To remedy the problem, this paper proposes a cloudedbase fuzzy approach which combines advantages of cloud transform and fuzzy synthetic evaluation. The cloud transform considers the randomness in the factors and product the higher concept layer for data mining. At the same time, the check mechanism controls the quality of partitions in factors. Then the fuzzy approach was used to get final evaluation value with randomness and fuzziness. It make the final result is optimization. Finally, performance evaluations show that this approach spent less runtime and got more accuracy than the fuzzy synthetic. The experiments prove that the proposed method is faster and more accuracy than the original method.

关 键 词:cloud  theory  fuzzy  approach  decision  support  system
文章编号:1673-825X(2007)03-0328-07
收稿时间:2007-02-10
修稿时间:2007-02-10

A cloud-based fuzzy approach for spatial site selection in decision support system
FU Xiao-xi,Byeong-Seob You,XIA Ying,Gyung-Bae Kim,Hae-Young Bae.A cloud-based fuzzy approach for spatial site selection in decision support system[J].Journal of Chongqing University of Posts and Telecommunications,2007,19(3):328-334.
Authors:FU Xiao-xi  Byeong-Seob You  XIA Ying  Gyung-Bae Kim  Hae-Young Bae
Institution:Sino-Korea Chongqing GIS Research Center, College of Computer Science, Chongqing University of Posts and Telecommunications,Chongqing 400065, P.R.China
Abstract:In decision support system for spatial site selection, the fuzzy synthetic evaluation is a useful way. However, the method can't pay attention to the randomness in factors. To remedy the problem, this paper proposes a clouded-base fuzzy approach which combines advantages of cloud transform and fuzzy synthetic evaluation. The cloud transform considers the randomness in the factors and product the higher concept layer for data mining. At the same time, the check mechanism controls the quality of partitions in factors. Then the fuzzy approach was used to get final evaluation value with randomness and fuzziness. It make the final result is optimization. Finally, performance evaluations show that this approach spent less runtime and got more accuracy than the fuzzy synthetic. The experiments prove that the proposed method is faster and more accuracy than the original method.
Keywords:cloud theory  fuzzy approach  decision support system
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