{"title":"An approach towards linguistic instructions understanding using the concept of flexible linguistic variables","authors":"A. Bastian","doi":"10.1109/FUZZY.1995.409793","DOIUrl":null,"url":null,"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.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1995.409793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.<>