{"title":"Data Types of DFL Programming Language","authors":"Xiaofang Zhao, Hui Fan, Xiaohua Liu","doi":"10.1109/FSKD.2007.238","DOIUrl":null,"url":null,"abstract":"The dynamic fuzzy logic (DFL) programming language can deal with dynamic fuzzy data that is the special difference from other programming languages. In order to implement DFL programming language, some suitable data types of it also should be defined. This paper describes primitive data types of DFL programming language and the mechanism of constructing other data types through extending the primitive data types. With the aim of concretely analyzing dynamic fuzzy data, it is necessary to modify the classical lambda calculus by adding a dynamic fuzzy degree to each term.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2007.238","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
The dynamic fuzzy logic (DFL) programming language can deal with dynamic fuzzy data that is the special difference from other programming languages. In order to implement DFL programming language, some suitable data types of it also should be defined. This paper describes primitive data types of DFL programming language and the mechanism of constructing other data types through extending the primitive data types. With the aim of concretely analyzing dynamic fuzzy data, it is necessary to modify the classical lambda calculus by adding a dynamic fuzzy degree to each term.