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首页> 外文期刊>Proceedings of the National Academy of Sciences, India, Section A. Physical Sciences >Some Efficient Algorithms on the Parameter Reduction of Soft Sets for Decision making Problems
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Some Efficient Algorithms on the Parameter Reduction of Soft Sets for Decision making Problems

机译:决策问题软集参数约简的若干高效算法

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In the present paper, we propose the efficient algorithm for the parameter reduction of soft sets and we implement it in diagnosing the risk of heart disease problem. Moreover, the efficiency of the algorithm is investigated. The time complexity of the Map_Matix is given by total number of comparisons made to construct map_matrix. For n number of objects and f number of attributes, the total number of comparisons is n x f. Therefore, the time complexity is given O(nf). The algorithm Generate_Powerset takes the total of features f as input and its time complexity is given by O(2(f)). Moreover, the overall efficiency is given by O(2(f)).
机译:在本文中,我们提出了有效算法的参数减少软集和我们实现它在诊断的风险心脏病的问题。算法的效率。时间复杂度的Map_Matix给出总数比较构造map_matrix。的属性,比较的总数n x f。因此,时间复杂度O (nf)。共有特性f作为输入和时间复杂性是由O (2 (f))。总体效率是由O (2 (f))。

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