The normal parameter reduction of soft sets and its algorithm
The normal parameter reduction of soft sets and its algorithm
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DOI：
10.1016/j.camwa.2008.07.013
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Z. Kong;Liqun Gao;Lifu Wang;Steven Li
中科院分区：
文献类型：
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作者：
Z. Kong;Liqun Gao;Lifu Wang;Steven Li
本文研究了软集和模糊软集的约简问题。首先，分析了软集的次优选择和附加参数集问题。然后，为了克服这些问题，我们引入了软集正态参数约简的定义。此外，还给出了一种正态参数约简的启发式算法。为了分析常规参数约简算法，提出了参数重要度和决策划分两个新的定义。此外，还研究了模糊软集上的正态参数约简。
This paper is concerned with the reduction of soft sets and fuzzy soft sets. Firstly, the problems of suboptimal choice and added parameter set of soft sets are analyzed. Then, we introduce the definition of normal parameter reduction in soft sets to overcome these problems. In addition, a heuristic algorithm of normal parameter reduction is presented. Two new definitions, parameter important degree and decision partition, are proposed for analyzing the algorithm of normal parameter reduction. Furthermore, the normal parameter reduction is also investigated in fuzzy soft sets.