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The principle of selecting the line of the distribution network is numerous and its accuracy is affected by different factors. In this paper, the influence factors of zero-sequence current comparison of amplitude method, zero-sequence current active component method, signal injection method and wavelet analysis line selection method are quantitatively analyzed, and the influence factors of line selection are proposed, which are formed through non-dimensionalization and forward processing. Based on the evaluation criteria of the accuracy of the selection principle, a new decision-making method for the evaluation of the distribution network selection line is proposed, which provides a quantitative reference for the applicability of the selection principle under different working conditions of the distribution network and selects a more suitable distribution Line selection principle of network conditions. In this paper, the relative proximity of sample points to the optimal sample points is calculated according to the technique for order preference by similarity to ideal solution. By ranking the calculated relative proximity, the comprehensive evaluation ranking of the line selection method is obtained, and the most preferred line mode under the evaluation decision method is obtained. The accuracy of this decision method is verified according to the specific example.

For pt.I see ibid., p.304-7 (1999). The information distribution method (IDM) is applied to deal with the small sample problem, which comes from the fuzzy comprehensive evaluation of some diseases. The optimization method is used in choosing the appropriate controlling points and information distribution function; the error of IDM is therefore reduced.

Based on a survey recently made in a community in Shanghai, this paper presents a new 2-D information limited diffusion method (ILDM) to deal with the small sample problem. The parameters of the diffusion function are also chosen by optimization method to reduce the error of ILDM.