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Target Recognition Based on Intuitionistic Fuzzy Sets Theory

Authors: Dongfeng Chen; Jingshan Jiao; Hui Liu;

Target Recognition Based on Intuitionistic Fuzzy Sets Theory

Abstract

The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed. Firstly,the possible degree for intuitionistic fuzzy sets is defined, and a method on ordering for IFSs is proposed. Secondly,IFS is used to represent the fuzzy measurement information of object characteristics, and the model of target recognition is constructed, also a multiple attribute decision-making method based on ordered weighted geometric averaging is proposed. Finally, the recognizing instances get into investigation. The experiments show that the proposed method is correct and effective; also it can be programmed easily and applied widely.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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