Computer Science ›› 2011, Vol. 38 ›› Issue (11): 206-207.

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New and Better Algorithm for Evaluation of Overall Performance of Embedded Computer through Combining Grey Entropy with Absolute Correlation Degree

  

  • Online:2018-12-01 Published:2018-12-01

Abstract: Conventional gray entropy correlation degree suffers from the non-uniqueness and asymmetry. We now proposed a novel evaluation model and applied the model to evaluate the performance evaluation of embedded computer.The algorithm combining the gray entropy theory with gray absolute correlation degree is to guarantee that the gray entropy absolute correlation degree has unique and symmetry, which can effectively avoid the miscarriage of justice for performance of embedded computer. A numerical example shows that the algorithm improves the effectiveness and accuracy of the performance evaluation of embedded computer,and provides a way to evaluate the comprehensive performonce of embedded computer.

Key words: Gray correlation analysis, Uray entropy correlation degree, Absolute correlation degree, Embedded computer, Performance evaluation

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