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Reliability evaluating of evidential network nodes with hybrid-code genetic algorithm

CHEN Zhi-gang1,2, LI Xian2, JING Pei-liang3, XU Shi-you3   

  1. 1. School of Software, Central South University, Changsha 410075, China; 2. School of Information Science and
    Engineering, Central South University, Changsha 410083, China; 3. Science and Technology on Automatic
    Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China
  • Online:2015-06-20 Published:2010-01-03

Abstract:

Evidential Network is a reasoning model based on extending the Demspter-Shafer(D-S) theory, when the sensors node are unreliable, discounts(reliability) should be set at the nodes as in the D-S theory. Because the evidential network fuses the multiple echelons of information of nodes, the discounts of sensors are at the different fusion levels and take effect at the different fusion levels, the whole conflict should be taken into consideration when the discounts are set up. The existing ways of evaluating the reliability are used in the D-S theory, and they cannot ensure the minimum of the whole conflict when taking the fusing in the evidential network. In order to resolve the problem, the hybrid-code genetic algorithm is proposed to evaluate the reliability of evidential network nodes, with the aim of reducing the whole conflict. Compared with some other algorithms, the results prove that the proposed algorithm takes some advantages in reducing the conflict and finding a better result.

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