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Journal of Projectiles, Rockets, Missiles and Guidance >

2017 , Vol. 37 >Issue 3: 160 - 164

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2017.03.040

CORRELATION TECHNOLOGY

Two-direction S-dominance Rough Sets and Its Application in Intention Recognition

  • ZHANG Xin ,
  • LI Xuwu ,
  • LU Yanli
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  • Air and Missile Defence College, Air Force Engineering University, Xi'an 710051, China

Received date: 2016-06-03

  Online published: 2025-05-28

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Abstract

Considering the dynamic of the information system and classic rough sets can't applied in it. The model of two-direction S-dominance rough sets is proposed. First, the dominance relation and the model of two-direction S-rough sets are combined and the approximation operators of the model are defined. Then, based on the model of two-direction S-dominance rough sets, the properties of the rough approximation operators and the relation between the model and the others are studied. Finally, the model is applied in the issue of intention recognition.

Key words： dominance rough sets; two-direction S-rough sets; two-direction S-dominance rough sets; intention recognition

Cite this article

ZHANG Xin , LI Xuwu , LU Yanli . Two-direction S-dominance Rough Sets and Its Application in Intention Recognition[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017 , 37(3) : 160 -164 . DOI: 10.15892/j.cnki.djzdxb.2017.03.040

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References

[1]
PAWLAK Z Rough Sets: Theoretical aspects of reasoning about data[M]. Norwell: Kluwer Academic Publishers, 1992.
[2]
GRECO S, MATARAZZO B, SLOWINSKI R, et al. An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle[C]//Rough Sets and Current Trends in Computing, Second International Conference, Rsete Banff, Canada, October 16-19, 2000, Revised Pa-pers. 2000: 304-313.
[3]
张文修 粗糙集理论与方法[M]. 北京: 科学出版社, 2001:3-22.
[4]
INUIGUCHI M, YOSHIOKA Y, KUSUNOKI Y. Variable-precision dominance-based rough set approach and attributereduction[J]. International Journal of Approximate Rea-soning, 2009, 50(8):1199-4214.
[5]
QIAN Y, LIANG J, YAO Y, et al. MGRS: A multi-granu-lation rough set[J]. Information Sciences, 2010, 180(6):949-970.
[6]
SHI Kaiquan. Two direction S-rough sets[J]. Internation-al Journal of Fuzzy Mathematics, 2005, 13(2):335-349.
[7]
SHI K. S-rough sets and knowledge separation[J]. Jour-nal of Systems Engineering and Electronics, 2005, 16(2):403-410.
[8]
史开泉, 崔玉泉. S粗集与粗决策[M]. 北京: 科学出版社, 2008:12-34.
[9]
LEUNG Y, LI D. Maximal consistent block technique for rule acquisition in incomplete information systems[J]. Information Sciences, 2003, 153(1): 85-406.
[10]
骆公志, 黄卫东. 不完备信息系统中的确定优势粗糙决策规则提取[J]. 南京邮电大学学报(自然科学版), 2011,31(5):114-420.
[11]
LUO Gongzhi, YANG Xiaojiang, ZHOU Dequn. Rough analysis model of multi-attribute decision making based on limited extended dominance relation[J]. Journal of Systems and Management, 2009, 18(4):391-396.
[12]
SCHNIDT CF, SRIDHARAN NS, GOODSON J L. The plan recognition problem: An intersection of psychology and artificial intelligence[J]. Artificial Intelligence, 1978, 11(1):45-83.
[13]
MULDER F, VOORBRAAK F. A formal description of tactical plan recognition[J]. Information Fusion, 2003, 4(1):47-61.
[14]
SHUN GE, XIA X Z. DSBN used for recognition of tacti-cal intention[J]. Systems Engineering & Electronics, 2014, 36(1):76-83.
[15]
DENG H J, YIN Q J, Ji-Wen HU, et al. Tactical inten-tion recognition based on multi-entity Bayesian network[J]. Systems Engineering & Electronics, 2010, 32(11):2374-2379.
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