Abstract
To the issue of categorical attributes data of target recognition tending to false well-proportioned weight, a renewed technique for feature weighted intuitionistic fuzzy c means (FWIFCM) is presented, whose validity are checked by utilizing a practical experiment for categorical attributes data. Finally, classifying function of additional feature weighted is analyzed and compared by providing an explicit experiment on 20 typical targets, and FWIFCM algorithm is well applied to typical target recognition on air. Simulation experiments prove that the technique proposed is promising and effective, while satisfactory results verify their applicability greatly.
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Lei, Y., Liu, S., Kong, W. (2015). Target Recognition Based on Feature Weighted Intuitionistic FCM. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48558-3_8
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DOI: https://doi.org/10.1007/978-3-662-48558-3_8
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