Paper Title:
A Study on Gray Relational Analysis of Many Factor Weights in Tobacco Leaves Classification
  Abstract

For the nine characteristic factors of tobacco leaf grading standards have different degree of influence on final grading results and lack of objective evaluation method, in this paper, we applied the gray relational analysis method to determine the weight of tobacco leaf factors in every grade, which calculate the gray relational analysis of nine characteristic factors: such as hue, lightness value, chroma, length, leaf structure, waste, oil, maturity and body. The gray relation was normalized to get the weight of the nine factors in tobacco leaf classification. By contrasted with the subjective evaluation of five experts in tobacco field, the calculation results are basically consistent with the experts’ recommendation. It illustrates that the application of Grey relational method to calculate influence ability of flue-cured tobacco grading factors is feasible. This method eliminates the subjectivity of the weight of each factor and can make the results more realistic.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
1728-1731
DOI
10.4028/www.scientific.net/AMR.139-141.1728
Citation
P. J. Mao, L. Liu, J. Wang, C. Y. Hu, "A Study on Gray Relational Analysis of Many Factor Weights in Tobacco Leaves Classification", Advanced Materials Research, Vols. 139-141, pp. 1728-1731, 2010
Online since
October 2010
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Price
$32.00
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