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Triple I algorithms based on Schweizer-Sklar operators in fuzzy reasoning

机译:模糊推理中基于Schweizer-Sklar算子的Triple I算法

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摘要

In this paper, we focus on the flexible inference method with parameters, that is the parametric triple I method by the combination of Schweizer-Sklar operators and triple I principles for fuzzy reasoning. Because the Schweizer-Sklar parameter m reflects the interaction between propositions in reasoning processes, the new parameterized triple I algorithms are closer to human reasoning in daily life. Also some properties of the new algorithms such as the reductivity, continuity and approximation are discussed. It is shown that some existing results are special cases of the new algorithms given here and in view of the variability of the parameter m the new algorithms have excellent flexibility in reasoning processes.
机译:在本文中,我们将重点放在带参数的灵活推理方法上,即通过结合Schweizer-Sklar算子和模糊推理的三重I原理的参数三重I方法。由于Schweizer-Sklar参数m反映了推理过程中命题之间的相互作用,因此新的参数化三重I算法在日常生活中更接近于人类推理。还讨论了新算法的一些属性,例如还原性,连续性和逼近性。结果表明,某些现有结果是此处给出的新算法的特例,并且鉴于参数的可变性,新算法在推理过程中具有出色的灵活性。

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