[1]张倩倩,马媛媛,徐久成.基于关联熵系数的粗糙Vague集相似性度量方法[J].智能系统学报,2018,13(4):650-655.[doi:10.11992/tis.201706081]
 ZHANG Qianqian,MA Yuanyuan,XU Jiucheng.Measurement method of the similarity of rough vague sets based on relative entropy coefficient[J].CAAI Transactions on Intelligent Systems,2018,13(4):650-655.[doi:10.11992/tis.201706081]
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基于关联熵系数的粗糙Vague集相似性度量方法

参考文献/References:
[1] PAWLAK Z. Rough sets:theoretical aspects of reasoning about data[M]. Dordrecht, Netherlands:Kluwer Academic Publishers, 1991.
[2] GAU W L, BUEHRER D J. Vague sets[J]. IEEE transactions on systems, man, and cybernetics, 1993, 23(2):610-614.
[3] ZHANG Qingchuan, ZENG Guangping, XIAO Chaoen, et al. A rule conflict resolution method based on Vague set[J]. Soft computing, 2014, 18(3):549-555.
[4] 欧阳春娟, 李斌, 李霞, 等. 基于Vague集相似度量的图像隐写系统安全性测度[J]. 计算机学报, 2012, 35(7):1510-1521. OUYANG Chunjuan, LI Bin, LI Xia, et al. A new security evaluation for steganographic system based on vague set similarity measure[J]. Chinese journal of computers, 2012, 35(7):1510-1521.
[5] ATANASSOV K T. Intuitionistic fuzzy sets[J]. Fuzzy sets and systems, 1986, 20(3):87-96.
[6] BUSTINCE H, BURILLO P. Vague sets are intuitionistic fuzzy sets[J]. Fuzzy sets and systems, 1996, 79(3):403-405.
[7] 徐久成, 张倩倩. 覆盖粗糙Vague集的不确定性度量研究[J]. 计算机科学, 2010, 37(10):225-227, 282. XU Jiucheng, ZHANG Qianqian. Research on uncertainty measurement for covering rough-vague sets[J]. Computer science, 2010, 37(10):225-227, 282.
[8] 王伟, 彭进业, 李展. 一种覆盖粗糙Vague集模型及其不确定性度量[J]. 计算机科学, 2012, 39(8):228-232. WANG Wei, PENG Jinye, LI Zhan. Covering rough vague sets and uncertainty measurement[J]. Computer science, 2012, 39(8):228-232.
[9] SUN Bingzhen, XU Youquan, ZENG Dalin. Rough Vague set over two universes[C]//Proceedings of 2013 International Conference on Machine Learning and Cybernetics. Tianjin, China, 2013:682-686.
[10] HUANG Bing, WEI Dakuan, LI Huaxiong, et al. Using a rough set model to extract rules in dominance-based interval-valued intuitionistic fuzzy information systems[J]. Information sciences, 2013, 221:215-229.
[11] 郭庆, 杨善林, 刘文军. 直觉模糊集信息系统属性约简算法[J]. 模糊系统与数学, 2014, 28(4):138-143. GUO Qing, YANG Shanlin, LIU Wenjun. A novel attributes reduction algorithm of intuitionistic fuzzy-valued information system[J]. Fuzzy systems and mathematics, 2014, 28(4):138-143.
[12] HUANG Bing, GUO Chunxiang, ZHUANG Yuliang, et al. Intuitionistic fuzzy multigranulation rough sets[J]. Information sciences, 2014, 277:299-320.
[13] 郭郁婷, 李进金, 李克典, 等. 多粒度覆盖粗糙直觉模糊集模型[J]. 南京大学学报:自然科学版, 2015, 51(2):438-446. GUO Yuting, LI Jinjin, LI Kedian, et al. Multi-granulation covering rough-intuitionistic fuzzy set model[J]. Journal of Nanjing university:natural sciences, 2015, 51(2):438-446.
[14] 范成礼, 雷英杰, 张戈. 改进的直觉模糊粗糙集相似性度量方法[J]. 计算机应用, 2011, 31(5):1344-1347. FAN Chengli, LEI Yingjie, ZHANG Ge. Improved measure of similarity between intuitionistic fuzzy rough sets[J]. Journal of computer applications, 2011, 31(5):1344-1347.
[15] 楚俊峰, 王应明. 基于新的区间直觉模糊集相似性测度的模式识别[J]. 计算机工程与应用, 2013, 49(9):140-143, 155. CHU Junfeng, WANG Yingming. Method of pattern recognition based on new similarity measure of interval-valued intu-itionistic fuzzy set[J]. Computer engineering and applications, 2013, 49(9):140-143, 155.
[16] 王毅, 刘三阳, 程月蒙, 等. 基于倾向性的直觉模糊相似度量方法[J]. 系统工程与电子技术, 2015, 37(4):863-867. WANG Yi, LIU Sanyang, CHENG Yuemeng, et al. Intuitionistic fuzzy similarity measure approach based on orientation[J]. Systems engineering and electronics, 2015, 37(4):863-867.
[17] 权双燕, 吴慧. Vague集的偏熵与关联熵[J]. 计算机应用与软件, 2008, 25(2):54-56. QUAN Shuangyan, WU Hui. Partial entropy and relative entropy of vague sets[J]. Computer applications and software, 2008, 25(2):54-56.
[18] 苗夺谦, 魏莱, 徐菲菲. 粗糙模糊集的关联熵与关联熵系数[J]. 同济大学学报:自然科学版, 2007, 35(7):970-974. MIAO Duoqian, WEI Lai, XU Feifei. Relative entropy and Its coefficient of rough fuzzy sets[J]. Journal of Tongji university:natural science, 2007, 35(7):970-974.
[19] NAMBURU A, SAMAYAMANTULA S K, EDARA S R. Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image segmentation[J]. IET image processing, 2017, 11(9):777-785.
[20] LIU Yong, LIN Yi. Intuitionistic fuzzy rough set model based on conflict distance and applications[J]. Applied soft computing, 2015, 31:266-273.
[21] 刘金良, 闫瑞霞, 姚炳学. 粗糙Vague集的不确定性度量[J]. 系统工程与电子技术, 2008, 30(1):104-107. LIU Jinliang, YAN Ruixia, YAO Bingxue. Uncertainty measures in rough-vague set[J]. Systems engineering and electronics, 2008, 30(1):104-107.
[22] BORAN F E, AKAY D. A biparametric similarity measure on intuitionistic fuzzy sets with applications to pattern recognition[J]. Information sciences, 2014, 255:45-57.
[23] 刘鹏惠. 从模糊集到直觉模糊集相似度的构造方法[J]. 西华大学学报:自然科学版, 2016, 35(2):17-24, 87. LIU Penghui. Approaches to constructing similarity measures from fuzzy sets to intuitionistic fuzzy sets[J]. Journal of Xihua university:natural science, 2016, 35(2):17-24, 87.
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备注/Memo

收稿日期:2017-06-26。
基金项目:国家自然科学基金项目(61772176,61370169,61402153);河南省科技攻关(重点)项目(182102210362,162102210261);河南师范大学青年科学基金项目(2015QK26);河南省高等学校重点科研项目(18A520031,5201119140059).
作者简介:张倩倩,女,1982年生,实验师,主要研究方向为粗糙集、Vague集理论、粒计算;马媛媛,女,1981年生,讲师,主要研究方向为粒计算、信息隐藏与多媒体安全;徐久成,男,1963年生,教授,博士,主要研究方向为粗糙集、粒计算、数据挖掘、生物信息。
通讯作者:马媛媛.E-mail:hnxxmyy@sina.com.

更新日期/Last Update: 2018-08-25
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