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

Abstract EN

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.