An approach towards linguistic instructions understanding using the concept of flexible linguistic variables

A. Bastian
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引用次数: 1

Abstract

Humans often face situations where they have to perform a very crisp and precise action based on a given linguistic instruction which is essentially imprecise. One might view a linguistic instruction as a set of almost infinite crisp solutions where the receiver finally selects one of those solutions to execute the command. Recently, fuzzy set theory has been proposed to realize a better human-machine interaction. Yet, it is very difficult to embed the perhaps most important ability of human in natural language understanding, namely to interpret a linguistic instruction situation dependent. Based on the recently proposed concept of a flexible linguistic variable by the author (1994), an approach towards situation dependent understanding of linguistic instructions is proposed and demonstrated by a simple simulation experiment.<>
用灵活语言变量的概念来理解语言指令
人类经常面临这样的情况:他们必须根据给定的语言指令做出非常清晰和精确的动作,而这些指令本质上是不精确的。人们可能会把语言指令看作是一组几乎无限清晰的解决方案,接收者最终选择其中一个解决方案来执行命令。近年来,模糊集合理论被提出来实现更好的人机交互。然而,很难将人类最重要的能力嵌入到自然语言理解中,即依赖于语言指令情境的解释能力。基于作者(1994)最近提出的灵活语言变量的概念,本文提出了一种情境依赖理解语言指令的方法,并通过一个简单的模拟实验进行了验证。
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