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首页> 外文期刊>International journal of applied mechanics >Study of Imaginative Play in Children Using Single-Valued Refined Neutrosophic Sets
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Study of Imaginative Play in Children Using Single-Valued Refined Neutrosophic Sets

机译:用单值精制中性学套进行富有想象力的富有想象力

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摘要

This paper introduces Single Valued Refined Neutrosophic Set (SVRNS) which is a generalized version of the neutrosophic set. It consists of six membership functions based on imaginary and indeterminate aspect and hence, is more sensitive to real-world problems. Membership functions defined as complex (imaginary), a falsity tending towards complex and truth tending towards complex are used to handle the imaginary concept in addition to existing memberships in the Single Valued Neutrosophic Set (SVNS). Several properties of this set were also discussed. The study of imaginative pretend play of children in the age group from 1 to 10 years was taken for analysis using SVRNS, since it is a field which has an ample number of imaginary aspects involved. SVRNS will be more apt in representing these data when compared to other neutrosophic sets. Machine learning algorithms such as K-means, parallel axes coordinate, etc., were applied and visualized for a real-world application concerned with child psychology. The proposed algorithms help in analysing the mental abilities of a child on the basis of imaginative play. These algorithms aid in establishing a correlation between several determinants of imaginative play and a child's mental abilities, and thus help in drawing logical conclusions based on it. A brief comparison of the several algorithms used is also provided.
机译:本文介绍了单值精制中性学套(SVRNS),其是中性学套装的广义版本。它由基于虚部和不确定的方面的六个会员函数组成,因此对现实世界的问题更敏感。将成员函数定义为复杂的(虚构),倾向于复杂的复杂和真理趋向于复杂的虚假性,除了单个值中性型集合(SVN)中的现有会员资格外,还用于处理虚构的概念。还讨论了该集的几个属性。使用SVRNS从1到10年内从1到10年的富有想象力假装游戏的研究进行分析,因为它是一个有充足数量的想象方面的领域。与其他中性套件相比,SVRN将更容易表示这些数据。诸如K-Means,平行轴坐标等的机器学习算法,并针对与儿童心理学相关的真实应用程序。该算法有助于在富有想象力的戏剧的基础上分析孩子的心理能力。这些算法有助于建立几个想象力戏剧和孩子的心理能力之间的相关性,从而有助于根据其提取逻辑结论。还提供了使用若干算法的简要比较。

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