Abstract
In order to solve the problems of large calculation and low efficiency of parameter reduction, a new parameter reduction method based on soft set theory is proposed. According to the importance degrees of parameters, this new parameter reduction method simplifies the reduction complexity brought by the equivalent classes in discernibility matrix, so that it not only improves the parameter reduction efficiency and quality, but also reduces the reduction complexity. Finally, comparing with other reduction methods, this new parameter reduction method based on soft set theory not only possesses feasibility and high efficiency, but also can make the reduction result more accurate.
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