[1]朱莉莉,严洪森,崔鹏飞,等.基于信息熵的知识网度量方法及应用[J].东南大学学报(自然科学版),2010,40(5):1097-1102.[doi:10.3969/j.issn.1001-0505.2010.05.041]
 Zhu Lili,Yan Hongsen,Cui Pengfei,et al.Measurement method and its application of knowledge mesh based on entropy[J].Journal of Southeast University (Natural Science Edition),2010,40(5):1097-1102.[doi:10.3969/j.issn.1001-0505.2010.05.041]
点击复制

基于信息熵的知识网度量方法及应用()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
40
期数:
2010年第5期
页码:
1097-1102
栏目:
自动化
出版日期:
2010-09-20

文章信息/Info

Title:
Measurement method and its application of knowledge mesh based on entropy
作者:
朱莉莉 严洪森 崔鹏飞 杨人子
东南大学复杂工程系统测量与控制教育部重点实验室,南京 210096
Author(s):
Zhu Lili Yan Hongsen Cui Pengfei Yang Renzi
Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education,Southeast University, Nanjing 210096,China
关键词:
知识网 信息熵 知识量 功能需求
Keywords:
knowledge mesh entropy knowledge amount function requirement
分类号:
TP11;TH165
DOI:
10.3969/j.issn.1001-0505.2010.05.041
摘要:
为了解决知识网库中知识网的选择问题,提出了一种基于信息熵的知识网度量方法.首先,定义了基于信息熵的知识量函数,并证明了知识量函数的单调性.然后,将基于信息熵的知识网度量法用于基于用户功能需求的知识网选择中,并将基于用户功能需求的相似性和知识量作为评价知识网的量化指标.最后,在.NET平台上利用C#语言和数据库管理系统SQL Server 2000,开发出基于用户功能需求的知识网选择的使能工具,并通过实例证明,相似性和知识量的结合可以更好地对知识网进行度量.用户功能需求越详细,且知识网库中的知识网相似性值和知识量值越接近目标知识网,则搜索到的知识网越能满足用户的需求.
Abstract:
To solve the selection problem of a knowledge mesh in a knowledge mesh base, an entropy-based measurement method of knowledge mesh is proposed. First, the definition of an entropy-based knowledge amount function is described. The function’s monotonic properties are proved. Then, the entropy-based measure method is applied to the selection of the knowledge mesh based on user functional requirements. The similarity and the knowledge amount based on user functional requirements are used to quantitatively evaluate the knowledge mesh. Finally, by means of C# program language and SQL Server 2000 database, a knowledge mesh selection enabling tool is developed on the.NET platform. It is exemplified that the proposed method can precisely measure the knowledge mesh by combining the similarity and the knowledge amount. When the user functional requirements are more detailed and the similarity and the knowledge amount of the knowledge-mesh in the knowledge-mesh database are closer to the destination mesh, the searched knowledge mesh will meet the user requirements better.

参考文献/References:

[1] 严洪森,刘飞.知识化制造系统——新一代先进制造系统[J].计算机集成制造系统,2001,7(8):7-11.
  Yan Hongsen,Liu Fei.Knowledgeable manufacturing system—a new kind of advanced manufacturing system [J].Computer Integrated Manufacturing Systems,2001,7(8):7-11.(in Chinese)
[2] Yan Hongsen.A new complicated-knowledge representation approach based on knowledge meshes [J].IEEE Trans on Knowledge and Data Engineering,2006,18(1):47-62.
[3] 严洪森.新的先进制造模式知识表示方法 [J].机械工程学报,2006,42(10):80-90.
  Yan Hongsen.New approach to knowledge representation for advanced manufacturing modes [J].Chinese Journal of Mechanical Engineering,2006,42(10):80-90.(in Chinese)
[4] 薛朝改.知识化制造系统的自重构研究[D].南京:东南大学自动化学院,2005.
[5] 丁雪峰,严洪森,薛朝改.基于近似匹配的知识化制造系统自重构研究[J].控制与决策,2008,23(1):70-74.
  Ding Xuefeng,Yan Hongsen,Xue Caogao.Self-reconfiguration of knowledgeable manufacturing system based on approximate match[J].Control and Decision,2008,23(1):70-74.(in Chinese)
[6] Shannon C E.A mathematical theory of communication [J].Bell System Technical Journal,1948,27:379-423,623-656.
[7] Zhou S F,Jia Q L,Shi W.Klomogorov’s ε-entropy of bounded sets in discrete spaces and attractors of dissipative lattice systems[J].Acta Mathematica Sinica,English Series,2006,23(2):290-295.
[8] 钟义信.信息科学原理[M].2版.北京:北京邮电大学出版社,1996.
[9] 李蕾,钟义信,郭祥昊.全信息理论在自动文摘系统中的应用[J].计算机工程与应用,2000,36(1):4-7.
  Li Lei,Zhong Yixin,Guo Xianghao.The application of comprehensive information theory in automatic abstract system[J].Computer Engineering and Applications,2000,36(1):4-7.(in Chinese)
[10] Hawkes P W.Advances in imaging and electron physics[M].London,UK:Academic Press,1995:37-135.
[11] 饶运青,Efsthtiou J.基于信息熵的制造系统复杂性测度及其在调度中的应用[J].机械工程学报,2006,42(7):8-13.
  Rao Yunqing,Efsthtiou J.Entropy-based measurement of manufacturing system complexity and its application in scheduling [J].Chinese Journal of Mechanical Engineering,2006,42(7):8-13.(in Chinese)
[12] 王艳斌,严洪森,马力伟,等.知识化制造系统的知识网数据库设计[J].东南大学学报:自然科学版,2004,34(S1):24-29.
  Wang Yanbin,Yan Hongsen,Ma Liwei,et al.Design of knowledge mesh database of knowledgeable manufacturing system [J].Journal of Southeast University:Natural Science Edition,2004,34(S1):24-29.(in Chinese)

相似文献/References:

[1]林金星,沈炯,肖国涛,等.一种基于分层模糊控制的免疫遗传优化算法[J].东南大学学报(自然科学版),2005,35(1):46.[doi:10.3969/j.issn.1001-0505.2005.01.010]
 Lin Jinxing,Shen Jiong,Xiao Guotao,et al.Immune genetic optimization algorithm based on multilayer fuzzy control[J].Journal of Southeast University (Natural Science Edition),2005,35(5):46.[doi:10.3969/j.issn.1001-0505.2005.01.010]
[2]满江虹,达庆利.基于信息熵的粗约简及其Bayes解释的供应链需求集成分析[J].东南大学学报(自然科学版),2004,34(3):402.[doi:10.3969/j.issn.1001-0505.2004.03.028]
 Man Jianghong,Da Qingli.Demand integration analysis for supply chain based on rough set view of information entropy and Bayesian interpretation[J].Journal of Southeast University (Natural Science Edition),2004,34(5):402.[doi:10.3969/j.issn.1001-0505.2004.03.028]
[3]冯径,熊鑫立,蒋磊.软件通信适配器的调制模式识别算法[J].东南大学学报(自然科学版),2017,47(3):456.[doi:10.3969/j.issn.1001-0505.2017.03.007]
 Feng Jing,Xiong Xinli,Jiang Lei.Modulation classification algorithm for software-designed communication adapter[J].Journal of Southeast University (Natural Science Edition),2017,47(5):456.[doi:10.3969/j.issn.1001-0505.2017.03.007]

备注/Memo

备注/Memo:
作者简介: 朱莉莉(1986—),女,硕士生; 严洪森(联系人),男,博士,教授,博士生导师,hsyan@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(60934008).
引文格式: 朱莉莉,严洪森,崔鹏飞,等.基于信息熵的知识网度量方法及应用[J].东南大学学报:自然科学版,2010,40(5):1097-1102. [doi:10.3969/j.issn.1001-0505.2010.05.041]
更新日期/Last Update: 2010-09-20