DocumentCode :
3593212
Title :
Target Group Division Methods Based on Intuitionistic Fuzzy S-Rough Assistant Sets
Author :
Hu, Jun-hong ; Lei, Ying-jie ; Gu, Guo-dong
Author_Institution :
Missile Inst., Air Force Eng. Univ., Sanyuan, China
Volume :
1
fYear :
2009
Firstpage :
497
Lastpage :
500
Abstract :
In order to solve the target detecting and target division problem with dynamic and determinate nature of target grouping, a new target grouping arithmetic is used in this paper. By introducing the mathematics structures and characteristic of Intuitionistic fuzzy singular rough sets (IFS-RS) and intuitionistic fuzzy singular rough assistant sets (IFS-RAS), a space group is described with a two direction intuitionistic fuzzy singular sets, and its dynamic targets compose of the assistant sets of IFS-RS. The correctness and validity of the developed methods are verified by target division example. The analysis of achieved results shows that the methods can dispose the dynamic problems of target detecting and target division flexible and it offered new study ways for research uncertain problems of dynamic systems.
Keywords :
formal logic; fuzzy set theory; object detection; rough set theory; IFS-RAS; intuitionistic fuzzy S-rough assistant set; mathematics structure; target detection; target group division method; Arithmetic; Fuzzy sets; Fuzzy systems; Information management; Knowledge management; Mathematics; Military computing; Missiles; Optimization methods; Rough sets; Assistant sets; Intuitionistic Fuzzy Singular Rough sets; Intuitionistic Fuzzy Singular sets; target grouping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.259
Filename :
5193744
Link To Document :
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