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

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  • Ruihong Wang
  • Liguo Zhang
  • Xiuying Lu

Abstract

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.

Suggested Citation

  • Ruihong Wang & Liguo Zhang & Xiuying Lu, 2017. "Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-7, September.
    • Handle: RePEc:hin:jnlmpe:6781671
    DOI: 10.1155/2017/6781671
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