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Mathematical Problems in Engineering
Volume 2017, Article ID 6781671, 7 pages
Research Article

Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory

1College of Information Science & Technology, Agricultural University of Hebei, Baoding, China
2Agricultural University of Hebei, Baoding, China

Correspondence should be addressed to Ruihong Wang; nc.ude.uabeh@hrwxx

Received 31 March 2017; Revised 9 July 2017; Accepted 15 August 2017; Published 14 September 2017

Academic Editor: Alessandro Lo Schiavo

Copyright © 2017 Ruihong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decision-makers experience knowledge. In this paper, we utilize rough sets theory to calculate attribute significance and then combine it with weight given by decision-maker. This method is a comprehensive consideration of subjective experience knowledge and objective situation; thus it can acquire much more ideal results. Finally, based on this method, we improve the system based on ASP.NET technology.