This paper is to study a mathematical model of computation for natural languages. Specifically, we enrich the L-fuzzy automata theory by using the concepts from L-fuzzy rough set theory so that new model, namely, L-fuzzy rough automata can handle both the concepts such as ambiguity and impreciseness arise in natural languages. Further, we study the determinization of an L-fuzzy rough automaton and introduce the concept of a factor L-fuzzy rough automaton. Also, we study some properties of L-fuzzy languages accepted by introduced concepts of L-fuzzy rough automata. Finally, we provide an application of the L-fuzzy rough automaton in a real-life problem.

本文旨在研究自然语言计算的数学模型。具体来说，我们利用L模糊粗糙集理论的概念丰富了L模糊自动机理论，以便新模型L模糊粗糙自动机可以处理自然语言中出现的歧义和不精确性等概念。此外，我们研究一个的确定化大号-模糊粗糙自动和引进因素的概念大号-模糊粗糙的自动机。此外，我们研究的一些性质大号通过介绍的概念接受-模糊语言大号-模糊粗糙的自动机。最后，我们提供一个L的应用-现实生活中的模糊粗糙自动机。