计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 88-93.doi: 10.11896/j.issn.1002-137X.2015.05.018
王韩杰,杨隆浩,傅仰耿,吴英杰,巩晓婷
WANG Han-jie, YANG Long-hao, FU Yang-geng, WU Ying-jie and GONG Xiao-ting
摘要: 传统关于置信规则库参数训练模型的求解主要采用FMINCON函数及群智能算法,但在算法设计中并未涉及所有的置信规则库参数,且缺少必要的专家干预。为解决这些问题,首先在现有参数模型的基础上进一步扩宽参与参数训练的置信规则库参数,然后设计出符合思维逻辑的专家干预的约束条件,最后结合差分进化算法提出具有更高收敛精度的置信规则库参数训练方法。在实验分析中,首先在多极值函数的实例中分析该方法的有效性,再在输油管道检漏的实例中检验专家干预的合理性及对比现有的其他参数训练方法。实验结果表明,该方法是有效可行的。
[1] Yang Jian-bo,Liu Jun,Wang Jin,et al.Belief rule-base inference methodology using the evidential reasoning approach-RIMER[J].IEEE Transactions on Systems,Man and Cybernetics,Part A:Systems and Humans,2006,36(2):266-285 [2] Dempster A P.A Generalization of Bayesian Inference[J].Journal of the Royal Statistical Society.Series B (Methodological),1968,30(2):205-247 [3] Shafer G.A mathematical theory of evidence[M].Princeton:Princeton university press,1976 [4] Hwang C L,Yoon K.Methods for Multiple Attribute DecisionMaking[M]∥Multiple Attribute Decision Making.Springer Berlin Heidelberg,1981:58-191 [5] Zadeh L A.Fuzzy sets[J].Information and control,1965,8(3):338-353 [6] Sun R.Robust reasoning:integrating rule-based and similarity-based reasoning[J].Artificial Intelligence,1995,75(2):241-295 [7] 周志杰,杨剑波,胡昌华.置信规则库专家系统与复杂系统建模[M].长沙:科学出版社,2011 [8] Yang Jian-bo,Liu Jun,Xu Dong-Ling,et al.Optimization models for training belief-rule-based systems[J].IEEE Transactions on Systems,Man and Cybernetics,Part A:Systems and Humans,2007,37(4):569-585 [9] Jiang Jiang,Li Xuan,Zhou Zhi-jie,et al.Weapon system capabi-lity assessment under uncertainty based on the evidential reasoning approach[J].Expert Systems with Applications,2011,38(11):13773-13784 [10] Chang Rui,Zhang Su.An Algorithm for Training Parameters in Belief Rule-bases Based on Gradient Methods with Optimization Step Size[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2011,32(1):154-157 [11] 王正志,薄涛.进化计算[M].长沙:囯防科技大学出版社,2000 [12] Chang Lei-lei,Li Meng-jun,Jiang Jiang,et al.Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor[J].Knowledge-Based System,2014,3:69-80 [13] Wang Ying-ming,Yang Jian-bo,Xu Dong-ling,et al.The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees[J].European Journal of Operatio-nal Research,2006,175(1):35-66 [14] Yang Jian-bo,Liu Jun,Xu Dong-ling,et al.Optimization models for training belief-rule-based systems[J].IEEE Transactions on Systems,Man and Cybernetics,Part A:Systems and Humans,2007,37(4):569-585 [15] Zhou Zhi-jie,Hu Chang-hua,Yang Jian-bo,et al.Online upda-ting belief rule based system for pipeline leak detection under expert intervention[J].Expert Systems with Applications,2009,36(4):7700-7709 [16] Storn R,Price K.Differential evolution-a simple and efficientadaptive scheme for global optimization over continuous spaces[M].Berkeley:ICSI,1995 [17] Lampinen J.A bibliography of differential evolution algorithm[R].Lappeenranta University of Technology,Finland,2001 [18] Storn R,Price K.Differential evolution-a simple and efficientheuristic for global optimization over continuous spaces[J].Journal of global optimization,1997,11(4):341-359 [19] Chen Yu-wang,Yang Jian-bo,Xu Dong-ling,et al.On the inference and approximation properties of belief rule based[J].Information Sciences,2013,234:121-135 [20] Xu Dong-ling,Liu Jun,Yang Jian-bo,et al.Inference and lear-ning methodology of belief-rule-based expert system for pipeline leak detection[J].Expert Systems with Applications,2007,32(1):103-113 |
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