Target recognition based on intuitionistic fuzzy clustering

被引：2
|
作者：
He Z.-H. [1 ]
Lei Y.-J. [1 ]
Wang G. [1 ]
机构：
[1] Missile Institute, Air Force Engineering University
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2011年 / 33卷 / 06期
关键词：
Intuitionistic fuzzy clustering; Intuitionistic fuzzy set; Intuitionistic fuzzy similarity matrix; Target recognition;
D O I：
10.3969/j.issn.1001-506X.2011.06.17
中图分类号：
学科分类号：
摘要：
The validity of air target recognition is very important for air defense combat. Concerned with the characteristics of air target recognition, intuitionistic fuzzy clustering is presented. Some valid measures of similarity and dissimilarity are griven; and with target characteristics, intuitionistic fuzzy similarity and dissimilarity are obtained. Serveral existing construction methods of the intuitionistic fuzzy similarity matrix are analyzed, a new construction method of intuitionistic fuzzy similarity matrix is put forward. An approach to transforming the intuitionistic fuzzy similarity matrices into the intuitionistic fuzzy equivalence matrices is given. Moreover, the (α, β) cutting matrix of intuitionistic fuzzy equivalence matrix is given, and a method of clustering intuitionistic fuzzy sets is proposed. Finally, based on this method, the clustering analyses of the air targets with specific characteristics are carried out. The result of experiment shows that this method is feasible and effective.
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页码：1283 / 1286
页数：3
相关论文
共 15 条
  • [1] Zhao W., Yan S.Q., Yu L., Et al., Passive radar target recognition based on fuzzy clustering analysis, Aerospace Electronic Warefare, 25, 2, pp. 32-34, (2009)
  • [2] Li F., Liu S.L., Xiong P., Et al., Air targets classification based on a meliorative C-means clustering algorithm, Modern Defence Technology, 32, 6, pp. 10-13, (2004)
  • [3] Atanassov K., Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 1, pp. 87-96, (1986)
  • [4] Li D.F., Some measures of dissimilarity in intuitionistic fuzzy structures, Journal of Computer and System Sciences, 68, 1, pp. 115-122, (2004)
  • [5] Liu H.W., New similarity measures between intuitionistic fuzzy sets and between elements, Mathematical and Computer Modelling, 42, 1-2, pp. 61-70, (2005)
  • [6] Zhang C.Y., Fu H.Y., Similarity measures on three kinds of fuzzy sets, Pattern Recognition Letters, 27, 12, pp. 1307-1317, (2006)
  • [7] Li Y.H., Olson D.L., Qin Z., Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis, Pattern Recognition Letters, 28, 2, pp. 278-285, (2007)
  • [8] Xu Z.S., Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making, Fuzzy Optimization and Decision Making, 6, 2, pp. 109-121, (2007)
  • [9] Chaira T., Ray A.K., A new measure using intuitionistic fuzzy set theory and its application to edge detection, Applied Soft Computing, 8, 2, pp. 919-927, (2008)
  • [10] Lu Y.L., Lei Y.J., Li Z.Y., Construction of intuitionistic fuzzy similarity relation, Computer Applications, 28, 2, pp. 311-314, (2008)
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