语言等级混合评估法

Michael Gr. Voskoglou
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引用次数: 0

摘要

评估是所有人类和机器活动的重要组成部分,因为它有助于确定可能出现的错误,并提高相应活动的绩效。本文为语言等级评估开发了一种混合方法,它使用封闭实区间和软集作为工具。软集由莫洛德斯托夫(Molodstov)于 1999 年提出,以参数化的方式用于定性评估,而封闭实数区间则使我们能够在软集的帮助下量化定性评估。此外,还介绍了棋手和机器性能评估的两个示例,以说明我们的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Method for Assessment with Linguistic Grades
Assessment is an important component of all human and machine activities, because it helps to determine possible mistakes and to improve performance with respect to the corresponding activity. A hybrid method is developed in this paper for assessment with linguistic grades, which uses closed real intervals and soft sets as tools. Soft sets, introduced by Molodstov in 1999, are used for a qualitative assessment in a parametic manner and the closed real intervals enable us to quantify the qualitative assessment achieved with the help of soft sets. Two examples for chess players’ and machines’ performance assessment are also presented illustrating our results.
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