Paper Title:
Optimum Test Point Selection Based on MADM for Analog Fault Dictionary Techniques
  Abstract

a new graph-search algorithm based on multi-attribute decision making (MADM) is proposed. Firstly, A* algorithm is used for graph-search, but when cost functions of two nodes are equal, three attributes describing a node are introduced. Secondly, a multi-attribute decision based on maximum deviation principle is used for nodes evaluation in order to select the best node for expanding. The proposed algorithm could overcome deviation brought by node evaluation based on information theory metrics only, which results in high accuracy. The outcome of simulation verification at the end of this paper manifests that this algorithm has excellent accuracy as the exhaustive algorithm, and is more quickly for large scale computation.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
807-812
DOI
10.4028/www.scientific.net/AMM.48-49.807
Citation
X. M. Chen, X. F. Meng, G. H. Wang, "Optimum Test Point Selection Based on MADM for Analog Fault Dictionary Techniques", Applied Mechanics and Materials, Vols. 48-49, pp. 807-812, 2011
Online since
February 2011
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Price
$32.00
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