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AN APPROACH TO SOLUTION OF VERBAL STATED MATHEMATICAL PROBLEMS

机译:语言中规定的数学问题解决方法

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The mathematical basis of Artificial Intelligence technologies, which is one of the most popular technologies of recent years, is largely based on soft computing technologies, fuzzy logic and fuzzy sets theory. Fuzzy logic and fuzzy sets theory can be applied successfully in many areas where classical mathematics has difficulty in modeling. These fields are generally areas that contain verbal information and logical inferences other than precise numerical information. In this study, the concept of Verbal Stated Mathematical Problem (VSMP) is defined first and algorithmic solution methodology based on fuzzy logic and fuzzy sets theory of this problem is proposed. Sugeno type Fuzzy Inference System was used to construct the model of the problem. The steps of the solution algorithm are explained through the example VSMP.
机译:人工智能技术的数学基础,是近年来最受欢迎的技术之一,主要基于软计算技术,模糊逻辑和模糊集理论。模糊逻辑和模糊集理论可以在古典数学难以建模的许多领域应用。这些字段通常是包含除精确数值信息之外的口头信息和逻辑推断的区域。在这项研究中,基于模糊逻辑和模糊集合的算法解决方法,提出了一种基于模糊逻辑和模糊集理论的语言表明数学问题(VSMP)的概念。 Sugeno型模糊推理系统用于构建问题的模型。通过示例VSMP解释解决方案算法的步骤。

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