[1]WANG Hui,QIN Shu,LIU Shaoying,et al.An improved algorithm of backward cloud based on curve fitting[J].CAAI Transactions on Intelligent Systems,2014,9(5):590-594.[doi:10.3969/j.issn.1673-4785.201304078]
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An improved algorithm of backward cloud based on curve fitting

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 5 Page number: 590-594 Column: 学术论文—人工智能基础 Public date: 2014-10-25
Title:
An improved algorithm of backward cloud based on curve fitting
Author(s):
WANG Hui;  QIN Shu;  LIU Shaoying;  YU Lijun;  WANG Kejun
Herbin Engineering University College of Automation, Harbin 150001, China
Keywords:
backward cloud generator; cloud model; curve fitting; parameters optimization; stabilit
CLC:
TP183
DOI:
10.3969/j.issn.1673-4785.201304078
Abstract:
Backward cloud generator is a model, which transforms quantitative values into qualitative concepts. The estimated value of Ex has a great impact on En and He in backward cloud generated algorithm. The direct use of the sample mean will lead to large errors. This paper makes the more thorough research to the algorithm of cloud model. Furthermore, the backward cloud generated algorithm has been improved. The sample mean is used as the initial value of the nonlinear fitting function. Then, the fitting function returns parameter as estimated value of Ex. This can improve the instability of randomly selected the fitting initial value and achieve parameters optimization of the backward cloud algorithm. Compared with other several backward cloud generation algorithms, simulation result shows that the improved algorithm has better stability and higher accuracy.
References:
[1] 李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学, 2004, 6(8):28-34.LI Deyi, LIU Changyu. Study on the universality of the normal cloud model[J]. Engineering Sciences, 2004, 6(8):28-34.
[2] 龙炜哲. 基于云理论的遥感云图分类研究[D]. 南宁:广西大学, 2009:18-35.LONG Weizhe. Remote sensing image cloud classification research based on cloud model theory[D]. Nanning:Guangxi University, 2009:18-35.
[3] 刘桂花, 宋承祥, 刘弘. 云发生器的软件实现[J]. 计算机应用研究, 2007, 24(1):46-48.LIU Guihua, SONG Chengxiang, LIU Hong. Software implementation of cloud generators[J]. Application of Computers, 2007, 24(1):46-48.
[4] 崔天宝. 基于云模型的短期电价预测的研究[D]. 保定:华北电力大学, 2008:10-18.CUI Tianbao. Short-term electricity price forecasting research based on cloud model[D]. Baoding:North China Electric Power University, 2008:10-18.
[5] 刘常昱, 冯芒, 戴晓军, 等. 基于云信息的逆向云新算法 [J]. 系统仿真学报, 2004(11):2417-2420.LIU Changyu, FENG Mang, DAI Xiaojun, et al. A new algorithm of backword cloud[J]. Journal of Systerm Simulation, 2004(11):2417-2420.
[6] 张仕斌, 许春香. 基于云模型的信任评估方法研究[J]. 计算机学报, 2013, 36(2):422-431.ZHANG Shibin, XU Chunxiang. Study of trust evaluation approach based on cloud model[J]. Journal of Computer, 2013, 36(2):422-431.
[7] 李德毅, 孟海军, 史雪梅, 等. 隶属云和隶属云发生器[J]. 计算机研究和发展, 1995(13):16-21.LI Deyi, MENG Haijun, SHI Xuemei, et al. Membership cloud and membership cloud generator[J]. Journal of Computer Research and Development, 1995(13):16-21.
[8] 罗自强, 张光卫. 一种新的逆向云算法[J]. 计算机科学与技术, 2007, 1(2):234-240.LUO Ziqiang, ZHANG Guangwei. A new algorithm of backward cloud[J]. Journal of Frontiers of Computer Science and Technology, 2007, 1(2):234-240.
[9] 吕辉军, 王晔, 李德毅. 逆向云在定性评价中的应用[J]. 计算机学报, 2003, 26(8):1009-1014.LYU Huijun, WANG Ye, LI Deyi. The application of backward cloud in qualitative evaluation[J]. Journal of Computers, 2003, 26(8):1009-1014.
[10] 刘常昱, 李德毅, 杜鹢. 正态云模型的统计分析[J].信息与控制, 2005, 34(2):236-239.LIU Changyu, LI Deyi, DU Yi, et al. Some statistical analysis of the normal cloud model[J]. Information and Control, 2005, 34(2):236-239.
[11] 王辉, 于立君, 王科俊, 等. 一种可变模糊匹配阴性选择算法[J].智能系统学报, 2011, 6(2):178-184.WANG Hui, YU Lijun, WANG Kejun, et al. An adjustable fuzzy matching negative selection algorithm[J]. CAAI Transactions on Intelligent Systems, 2011, 6(2):178-184.
[12] 李众, 刘艳. 一维正态云模型单规则推理映射研究[J]. 系统仿真学报, 2008, 20(3):702-705.LI Zhong, LIU Yan. Research on one-dimension normal cloud model single rule reasoning[J]. Journal of System Simulation, 2008, 20(3):702-705.
[13] 王辉, 王科俊, 于立君. 基于模糊思想生成最有效检测器集的变阈值免疫算法[J].系统仿真学报, 2008, 20(17):4596-4600.WANG Hui, WANG Kejun, YU Lijun.Adjustable threshold immune algorithm of creating most effective detector set based on fuzzy idea[J]. Journal of System Simulation. 2008, 20(17):4596-4600.
[14] 刘衍民, 赵庆祯, 邵增珍. 基于正态云的粒子群优化算法及其应用[J]. 计算机工程与应用, 2011, 37(17):161-162, 166.LIU Yanmin, ZHAO Qingzhen, SHAO Zengzhen. Particle swarm optimization algorithm based on normal cloud and its application[J]. Computer Engineering, 2011, 37(17):161-162, 166.
[15] 李德毅, 杜鷁. 不确定性人工智能[M]. 北京:国防工业出版社, 2005:271-284.
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