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A new algorithm of attributes reduction based on rough set theory and applicate in ship's fuel consumption analysis

机译:基于粗糙集理论的属性约简新算法及其在船舶油耗分析中的应用

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The mam idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification. This paper presents a new method for the definition of attribute importance. This method consider the definition of absolute nuclear algorithm, under the condition of invariable in keeping the positive region, by comparing to the size of the improved algorithm of attribute importance. The algorithm can reduce the computational complexity and improve the computational efficiency. The presented algorithm is applied to ship fuel. Consumption data analysis, simulation experiment shows that the algorithm is more effective.
机译:粗糙集理论的主要思想是在保持分类能力的前提下,通过属性约简和价值约简来提取决策规则。本文提出了一种定义属性重要性的新方法。通过与属性重要性改进算法的大小进行比较,在保持正区域不变的情况下,考虑了绝对核算法的定义。该算法可以降低计算复杂度,提高计算效率。提出的算法应用于船舶燃料。消费数据分析,仿真实验表明,该算法更为有效。

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