ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance
Received date: 2014-07-24
Revised date: 2014-10-27
Online published: 2014-10-29
Supported by
National Natural Science Foundation of China (61032001); Program for New Century Excellent Talents in University of Ministry of Education of China (NCET-11-0872)
A hybrid multiple attribute recognition method based on coefficient of incidence bull's-eye-distance is proposed for the recognition and decision-making problem, that is, hybrid multiple attribute data of the real, interval and sequence number could not be recognized with the interval data in the database directly. The measurements for the hybrid multiple attribute data are determined and a novel grey target forming framework is presented, in which we use the coefficient of incidence of the hybrid multiple attribute data and the interval data as the recognition and decision-making matrix and the positive and negative clouts are formed based on it. Then we calculate distance of the each mode and the positive and negative clouts. Finally we discuss the shortcomings of the existing grey target decision-making methods and present a novel bull's-eye decision-making method for recognition with the bull's-eye-distance. With the multiple attribute recognition simulation experiment, we show the effectiveness of the proposed novel grey target recognition method and compare it with bull's-eye decision-making methods and the grey association recognition method, which underlines the good distinguishing performance and stability in recognition and decision-making.
GUAN Xin , SUN Guidong , YI Xiao , GUO Qiang . Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(7) : 2431 -2443 . DOI: 10.7527/S1000-6893.2014.0299
[1] Han C Z, Zhu H Y, Duan Z S, et al. Muti-source information fusion[M]. 2nd ed. Beijing: Tsinghua University Press, 2010: 478-495 (in Chinese). 韩崇昭, 朱洪艳, 段战胜, 等. 多源信息融合[M]. 2版. 北京: 清华大学出版社, 2010: 478-495.
[2] He Y, Wang G H, Guan X, et al. Information fusion theory with application[M]. Beijing: Publishing House of Electronics Industry, 2010: 251-260 (in Chinese). 何友, 王国宏, 关欣, 等. 信息融合理论及应用[M]. 北京: 电子工业出版社, 2010: 251-260.
[3] Yang W H. Multisensor data fusion with application[M]. Xi'an: Xidian University Press, 2004: 84-101 (in Chinese). 杨万海. 多传感器数据融合及其应用[M]. 西安: 西安电子科技大学出版社, 2004: 84-101.
[4] Liu H J, Li Y, Liu Z, et al. Approach to multi-function radar identification based on stochastic grammars[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(9): 1809-1817 (in Chinese). 刘海军, 李悦, 柳征, 等. 基于随机文法的多功能雷达识别方法[J]. 航空学报, 2010, 31(9): 1809-1817.
[5] Hu Q Z, Zhang W H. Research on interval number with application[M]. Beijing: Science Press, 2010: 15-18 (in Chinese). 胡启洲, 张卫华. 区间数理论的研究及其应用[M]. 北京: 科学出版社, 2010: 15-18.
[6] Yi X, Zhang H W, Cao X Y, et al. A track association algorithm for distributed multi-target systems based on gray interval numbers[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(2): 352-360 (in Chinese). 衣晓, 张怀巍, 曹昕莹, 等. 基于区间灰数的分布式多目标航迹关联算法[J]. 航空学报, 2013, 34(2): 352-360.
[7] Hu L F, Guan X, He Y. A new approach for grey multi-attribute decision making[J]. Control and Decision, 2012, 27(6): 896-898 (in Chinese). 胡丽芳, 关欣, 何友. 一种新的灰色多属性决策方法[J]. 控制与决策, 2012, 27(6): 896-898.
[8] Wan S P. Method of interval deviation degree for uncertain multi-sensor target recognition[J]. Control and Decision, 2009, 27(9): 1306-1309 (in Chinese). 万树平. 不确定多传感器目标识别的区间相离度法[J].控制与决策, 2009, 27(9): 1306-1309.
[9] Wang Z X, Dang Y G, Song C P. Multi-objective decision model of grey situation based on interval number[J]. Control and Decision, 2009, 24(3): 388-392 (in Chinese). 王正新, 党耀国, 宋传平. 基于区间数的多目标灰色局势决策模型[J]. 控制与决策, 2009, 24(3): 388-392.
[10] Wan S P. Applying interval-value vague set for multi-sensor target recognition[J]. International Journal of Innovative Computing, Information and Control, 2011, 7(2): 955-964.
[11] Xu Z S. On similarity measures of interval-valued intuitionistic fuzzy sets and their application to pattern recognitions[J]. Journal of Southeast University: English Edition, 2007, 31(11): 139-143.
[12] Zhong L Y. Group decision making with multi-attribute interval data[J]. Information Fusion, 2013, 14(4): 551-561.
[13] Chen X, Hu W D. Approach based on interval type-2 fuzzy logic system for emitter identification[J]. Electronics Letters, 2012, 48(18): 1156-1158.
[14] Li P, Liu S F. Interval-valued intuitionistic fuzzy numbers decision-making method based on grey incidence analysis and D-S theory of evidence[J]. Acta Automatica Sinica, 2011, 37(8): 993-998 (in Chinese). 李鹏, 刘思峰. 基于灰色关联分析和D-S 证据理论的区间直觉模糊决策方法[J]. 自动化学报, 2011, 37(8): 993-998.
[15] Ding C M, Li F, Qi H. Technique of hybrid multiple attribute decision making based on similarity degree to ideal solution[J]. Systems Engineering and Electronics, 2007, 29(5): 737-740 (in Chinese). 丁传明, 黎放, 齐欢. 一种基于相似度的混合型多属性决策方法[J]. 系统工程与电子技术, 2007, 29(5): 737-740.
[16] Shen C G, Dang Y G, Pei L L. Study on the hybrid multi-attribute decision model of grey target[J]. Statistics and Decision, 2010, 312: 17-20 (in Chinese). 沈春光, 党耀国, 裴玲玲. 混合型多指标灰靶决策模型研究[J]. 统计与决策, 2010, 312: 17-20.
[17] Deng J L. Introduction to grey system theory[J]. Journal of Grey System, 1989, 1(1): 1-24.
[18] Deng J L. Elements on grey theory[M]. Wuhan: HuaZhong University of Science Technology Press, 2002: 135-162 (in Chinese). 邓聚龙. 灰理论基础[M]. 武汉: 华中科技大学出版社, 2002: 135-162.
[19] Liu S F, Dang Y G, Fang Z G, et al. Grey system theory with application[M]. Beijing: Science Press, 2010: 62-92(in Chinese). 刘思峰, 党耀国, 方志耕, 等. 灰色系统理论及其应用[M]. 北京: 科学出版社, 2010: 62-92.
[20] Luo D. Multi-objective grey target decision model based on positive and negative clouts[J]. Control and Decision, 2013, 28(2): 241-246 (in Chinese). 罗党. 基于正负靶心的多目标灰靶决策模型[J]. 控制与决策, 2013, 28(2): 241-246.
[21] Deng J L. Grey entropy and grey target decision making[J]. Journal of Grey System, 2010, 22(1): 1-4.
[22] Song J, Dang Y G, Wang Z X, et al. New decision model of grey target with both the positive clout and the negative clout[J]. Systems Engineering-Theory & Practice, 2010, 30(10): 1822-1827 (in Chinese). 宋捷, 党耀国, 王正新, 等. 正负靶心灰靶决策模型[J]. 系统工程理论与实践, 2010, 30(10): 1822-1827.
[23] Wang Z X, Dang Y G, Yang H. Improvements on decision method of grey target[J]. Systems Engineering and Electronics, 2009, 31(11): 2634-2636 (in Chinese). 王正新, 党耀国, 杨虎. 改进的多目标灰靶决策方法[J]. 系统工程与电子技术, 2009, 31(11): 2634-2636.
[24] Chen X. Multiple attributes decision-making model based on exponential type fuzzy numbers and its application[J]. Computer Engineering and Applications, 2013, 49(15): 116-118 (in Chinese). 陈霄. 基于指数型模糊数的多属性决策模型及其应用[J]. 计算机工程与应用, 2013, 49(15): 116-118.
[25] Liu S F, Yuan W F, Sheng K Q. Multi-attribute intelligent grey target decision model[J]. Control and Decision, 2010, 25(8): 1159-1163(in Chinese). 刘思峰, 袁文峰, 盛克勤. 一种新型多目标智能加权灰靶决策模型[J]. 控制与决策, 2010, 25(8): 1159-1163.
[26] Zhu J J, Keith W H. Multiple stages grey target decision making method with incomplete weight based on multi-granularity linguistic label[J]. Information Sciences, 2012, 212(1): 15-32.
[27] Luo D, Wang X. The multi-attribute grey target decision method for attribute value within three-parameter interval grey number[J]. Applied Mathematical Modelling, 2012, 36(5): 1957-1963.
[28] Perez I J, Cabrerizo F J, Herrera-Viedma E. A mobile decision support system for dynamic group decision making problems[J]. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 2010, 40(6): 1244-1256.
/
| 〈 |
|
〉 |
CJA