摘要

The theory instrument of grey relational analysis is grey relational grade between the sequences. The grey relational grade is a measure of the degree of association between two factors, or between two systems. It describes the relative changes among the various factors in the development process of the system. In turn, we can calculate the grey relational grade, compare and judge the grey relational grade, and then judge the degree of association between the compared factors. This paper based on the traditional gray relational decision fusion algorithm, proposed a new gray relational decision fusion algorithm based on the approximate entropy. The simulation shows that recognition rate improved significantly compared with the original gray relational decision fusion algorithm.

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