Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (15): 34-37.DOI: 10.3778/j.issn.1002-8331.1711-0259

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Robustness of α-reverse triple I methods based on average logic similarity

WANG Rong, HUI Xiaojing, JING Mei   

  1. College of Mathematics and Computer Science, Yan’an University, Yan’an, Shaanxi 716000, China
  • Online:2018-08-01 Published:2018-07-26

基于平均逻辑相似度的α-反向三I算法的鲁棒性

王  蓉,惠小静,井  美   

  1. 延安大学 数学与计算机科学学院,陕西 延安 716000

Abstract: Robustness is an important criterion for evaluating the performance of an algorithm. This paper discusses the robustness of the[α]-reverse triple I sustaining methods and [α]-reverse triple I restriction algorithm by means of the average logical similarity. It shows that the [α]-reverse triple I sustaining methods of FMP(FMT)  has the same robustness as the [α]-reverse triple I restriction algorithm.

Key words: robustness, average logical similarity, [α]-reverse triple I sustaining methods, [α]-reverse triple I restriction methods

摘要: 鲁棒性是评价算法优劣的一个重要标准。以平均逻辑相似度为衡量扰动的指标,分别讨论了α-反向三I支持算法和α-反向三I约束算法的鲁棒性,结论表明FMP(FMT)问题的α-反向三I支持算法和α-反向三I约束算法具有相同的鲁棒性。

关键词: 鲁棒性, 平均逻辑相似度, &alpha, -反向三I支持算法, &alpha, -反向三I约束算法