由幂零和严格t模生成的t可表示t模的分配方程

M. Baczyński
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引用次数: 6

摘要

最近,在[4]中,我们讨论了区间值模糊集理论中由严格t-范数生成的t-可表示t-范数上的下述蕴涵分布方程I(x, T1(y, z)) = T2(I(x, y), I(x, z))。在这项工作中,我们继续这些研究,但假设T1是由幂零t模产生的,而T2是由严格t模产生的。作为一个副产品,我们给出了以下函数方程f(min(u1 +v1, a),min(u2 +v2, a)) = f(u1, u2) + f(v1, v2)的所有解与这种情况有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the distributive equation for t-representable t-norms generated from nilpotent and strict t-norms
Recently, in [4], we have discussed the following distributive equation of implications I(x, T1(y, z)) = T2(I(x, y), I(x, z)) over t-representable t-norms, generated from strict t-norms, in interval-valued fuzzy sets theory. In this work we continue these investigations, but with the assumption that T1 is generated from nilpotent t-norms, while T2 is generated from strict t-norms. As a byproduct result we show all solutions for the following functional equation f(min(u1 +v1, a),min(u2 +v2, a)) = f(u1, u2) + f(v1, v2) related to this case.
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