计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 79-84.
陈婷婷,王应明
CHEN Ting-ting,WANG Ying-ming
摘要: 针对以置信规则推理作为系统控制器的应用,传统的置信K均值聚类算法往往不能充分利用数据中时间上的动态关联信息。因此,在模糊聚类算法的基础上引入自回归(AR)模型,将集约生产计划中的需求数据作为一组时间序列进行动态的聚类分析。该算法不仅可以充分利用集约生产计划中的需求数据的内部自相关性,而且可以进一步利用隶属度函数对AR模型的预测过程进行模糊化调整,从而得到更为理想的置信规则库结构,提高推理与决策的精度。
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[1]YANG J B,LIU J,XU D L,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. [2]YANG J B,LIU J,WANG J,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. [3]梁昌勇,张恩桥,戚筱雯,等.不完全信息下基于证据推理的竞争对手分析[J].系统工程,2010(2):44-48. [4]朱卫东,周光中,杨善林.基于二维语言评价信息的群体决策方法[J].系统工程,2009(2):113-118. [5]张洪涛,朱卫东.不完全信息下一种信度判断矩阵及其集结方法[J].系统工程,2010(7):107-110. [6]王红卫,祁超,魏永长,等.基于数据的决策方法综述[J].自动化学报,2009,35(6):820-833. [7]LIU J,et al.Self-tuning of fuzzy belief rule bases for engineering system safety analysis [J].Annals of Operations Research,2008,163(1):143-168. [8]ZHOU Z J,et al.Online updating belief-rule-based system for pipeline leak detection under expert intervention [J].Expert Systems With Applications,2009,36(4):7700-7709. [9]HU C H,et al.Dynamic evidential reasoning algorithm for systems reliability prediction [J].International Journal of Systems Science,2010,41(7):783-796. [10]司小胜,胡昌华,周志杰.基于证据推理的故障预报模型[J].中国科学:信息科学,2010,40(7):954-967. [11]胡昌华,司小胜.基于信度规则库的惯性平台健康状态参数在线估计[J].航空学报,2010,31(7):1454-1465. [12]KONG G L,et al.Applying a belief rule-base inference metho- dology to a guideline-based clinical decision support system [J].Expert Systems,2009,26(5):391-408. [13]TANG D,et al.A methodology to generate a belief rule base for customer perception risk analysis in new product development [J].Expert Systems with Applications,2011,38(5):5373-5383. [14]LIU J,et al.Improving nuclear safeguards evaluation th rough enhanced belief rule-based inference methodology [J].International Journal of Nuclear Know ledge Management,2009,3(3):312-339. [15]常瑞,王红卫,杨剑波.基于梯度法和二分法的置信规则库参数训练方法[J].系统工程,2007,25(增刊):287-291. [16]LIU J,et al.Optimization algorithm for learning consistent belief rule base from examples [J].Journal of Global Optimization,2011,51(2):255-270. [17]ZHOU Z J,et al.A sequential learning algorithm for online constructing belief rule based systems [J].Expert Systems with Applications,2010,37(2):1790-1799. [18]李彬,王红卫,杨剑波,等.置信规则库结构识别的置信K均值聚类算法[J].系统工程,2011(5):85-91. [19]BEZDEK J C.Pat tern recognition with fuzzy objective function algorithms [M].New York:Plenum Press,1981. [20]HOLT C C,et al.A linear decision rule for production and employment scheduling [J].Management Science,1955,2(1):1-30. [21]PICCOLO D.A distance measure for classifying ARIMA models[J].Journal of Time,1990,11(2):153-164. [22]WANG N,BLOSTEIN S.Adaptive zero-padding OFDM over frequency-selective multipath channels[J].Eurasip Journal on Advances in Signal Processing,2004,2004(10):1478-1488. [23]D’URSO P,GIOVANNI L D,MASSARI R.Time series clustering by a robust autoregressive metric with application to air pollution[J].Chemomtrics & Intelligent Laboratory Systems,2015,141:107-124. [24]D’URSO P,LALLO D D,MAHARAJ E A.Autoregressive model-based fuzzy clustering and its application for detecting information redundancy in air pollution monitoring networks[J].Soft Computing,2013,17(1):83-131. [25]刘宇宏,王士同,徐红林.基于AR模型的动态模糊聚类算法[J].计算机工程与设计,2008,29(1):144-147,159. [26]吕志军,王照飞,谢福鼎,等.基于FCM聚类的时间序列模糊关联规则挖掘[J].大连理工大学学报,2010,50(5):806-810. [27]罗艺,张韬,李晓松.基于模糊C均值聚类算法的模糊时间序列分析在戊肝发病率预测中的应用初探[J].四川大学学报(医学版),2016,47(3):406-410. [28]肖瑞,刘国华.基于趋势的时间序列相似性度量和聚类研究[J].计算机应用研究,2014,31(9):2600-2605. [29]邵丹,陈平雁.模糊C均值聚类在时间序列分析中的应用[J].中国卫生统计,2009,26(2):166-167,170. [30]杨隆浩,傅仰耿,吴英杰.面向最佳决策结构的置信规则库结构学习方法[J].计算机科学与探索,2014,8(10):1216-1230. |
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