A Cloud-Based Fuzzy Approach for Spatial Site Selection in Decision Support System
In decision support system for spatial site selection,the fuzzy synthetic evaluation is a useful way. However,the method cant pays 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 is used to get final evaluation value with randomness and fuzziness. It make the final result is optimization. Finally,performance evaluations show that this approach spends less runtime and gets more accuracy than the fuzzy synthetic. In Experiments, we prove that the proposed method is faster and more accuracy than the original method.
Xiao-Xi Fu Byeong-Seob You Ying Xia Gyung-Bae Kim Hae-Young Bae
Sino-Korea Chongqing GIS Research Center, College of Computer Science, Chongqing Univ.of Posts & Tel Department of Computer Science and Information Engineering, Inha University,253 Yonghyun-dong, Nam-k Department of Computer Education, Seowon University,231 Mochung-dong Heungduk-gu Cheongju-si Chungbu
国际会议
重庆
英文
213-219
2007-04-24（万方平台首次上网日期，不代表论文的发表时间）