On robustness of the full implication triple I inference method with respect to finer measurements

On robustness of the full implication triple I inference method with respect to finer measurements
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关于更精细测量的全蕴涵 Triple I 推理方法的鲁棒性

DOI:
10.1016/j.ijar.2013.09.023
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发表时间:
2014-03
影响因子:
3.9
通讯作者:
段景瑶
段景瑶
中科院分区:
计算机科学2区
文献类型:
--
作者:
王国俊;段景瑶

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本文主要论述三点。首先,比较和分析了给定论域上两个模糊集之间不同类型的等式和相似度。特别地,修正了(T,δ)等式的概念,作为评价模糊推理鲁棒性的一种度量。此外,研究了左连续T-模的几种诱导度量,并讨论了相关度量空间的性质。最后,在上述讨论的基础上,证明了三I方法关于修正测度的连续性,反映了三I方法良好的鲁棒性。
This paper mainly discusses three points. First of all, different types of equalities and similarity degrees between two fuzzy sets on a given universe of discourse are compared and analyzed. In particular, the concept of (T, δ) equality is revised as a measure to evaluate robustness of fuzzy reasoning. Besides, several induced metrics with respect to left-continuous T-norms are investigated, and properties of the related metric spaces are discussed. Finally, based on discussions above, the continuity of the triple I method with respect to the revised measures is proved, which reflects the good behavior of robustness of the triple I method.
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