[1]郭伦众,宋振明.一种基于最大满矩阵生成概念格的算法[J].智能系统学报编辑部,2015,10(6):838-842.[doi:10.11992/tis.201507063]
 GUO Lunzhong,SONG Zhenming.A novel concept-lattice acquisition approach based on the greatest full matrix of formal context[J].CAAI Transactions on Intelligent Systems,2015,10(6):838-842.[doi:10.11992/tis.201507063]
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一种基于最大满矩阵生成概念格的算法

参考文献/References:
[1] WILLE R. Restructuring lattice theory:an approach based on hierarchies of concepts[M]//RIVAL I. Ordered Sets. Berlin Heidelberg:Springer, 1982:445-470.
[2] OOSTHULZEN G D. The application of concept lattice to machine learning[R]. South Africa:University of Pretoria, 1996.
[3] GODIN R, MISSAOUI R, ALAOUI H. Incremental concept formation algorithms based on Galois(concept) lattices[J]. Computational Intelligence, 1995, 11(2):246-267.
[4] HO T B. Incremental conceptual clustering in the framework of Galois lattice[C]//LU H, LIU H, MOTODA H. KDD:Techniques and Applications. Singapore:World Scientific, 1997:49-64.
[5] 谢志鹏, 刘宗田. 概念格的快速渐进式构造算法[J]. 计算机学报, 2002, 25(5):490-496.XIE Zhipeng, LIU Zongtian. A fast incremental algorithm for building concept lattice[J]. Chinese Journal of Computers, 2002, 25(5):490-496.
[6] 林春杰, 普杰信, 张瑞玲. 近似概念格及其增量构造算法研究[J]. 计算机应用研究, 2012, 29(1):25-27.LIN Chunjie, PU Jinxin, ZHANG Ruilin. Approximation concept lattice and incremental constructing algorithm[J]. Application Research of Computers, 2012, 29(1):25-27.
[7] 李海霞. 基于Hasse图的概念格的一种渐减式构造算法[J]. 河南科技学院学报, 2015, 43(3):57-60, 66.LI Haixia. A decreasing algorithm of concept lattice based on Hasse diagram[J]. Journal of Henan Institute of Science and Technology, 2015, 43(3):57-60, 66.
[8] 崔芳婷, 王黎明, 张卓. 基于约束的模糊概念格构造算法[J]. 计算机科学, 2015, 42(8):288-293, 318.CUI Fangting, WANG Liming, ZHANG Zhuo. Construction algorithm of fuzzy concept lattice based on constraints[J]. Computer Science, 2015, 42(8):288-293, 318.
[9] 刘宏英, 郭显娥, 胡小珍. 多维概念格及其构造算法[J]. 计算机工程与应用, 2012, 48(12):96-99, 111.LIU Hongying, GUO Xian’e, HU Xiaozhen. Multidimensional concept lattice and constructing algorithm[J]. Computer Engineering and Applications, 2012, 48(12):96-99, 111.
[10] 马垣, 曾子维, 迟呈英, 等. 形式概念及其新进展[M]. 北京:科学出版社, 2010:11-24.
[11] 蒋平, 任胜兵, 林鹃. 形式概念分析在软件工程中的应用[J]. 计算机技术与发展, 2008, 18(4):127-129, 213.JIANG Ping, REN Shengbing, LIN Juan. Using formal concept analysis for software engineering[J]. Computer Technology and development, 2008, 18(4):127-129, 213.
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备注/Memo

收稿日期:2015-06-30;改回日期:。
基金项目:国家自然科学基金资助项目(61175055).
作者简介:宋振明,男,教授,硕士生导师,主要研究方向为智能信息处理、运筹与控制、不确定性推理。郭伦众,女,1992年生,硕士研究生,主要研究方向为智能信息处理。
通讯作者:郭伦众.E-mail:18380106827@163.com.

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