{"title":"Fuzzy Logic Based Model of a New Tool for Measuring E-Readiness","authors":"R. Davidrajuh","doi":"10.1109/AMS.2007.46","DOIUrl":null,"url":null,"abstract":"This paper proposes a new tool for measuring e-readiness (the investment climate) of a country. Firstly, this paper presents some of the difficulties (e.g. imprecise data) in measuring e-readiness of a country. Secondly, this paper presents a fuzzy logic model of a new tool for measuring e-readiness, as fuzzy logic is well suited for working with imprecise data. Finally, this paper presents a hybrid tool for measuring e-readiness. The hybrid model uses fuzzy logic together with array-based logic. The main reason for proposing the hybrid tool is to reduce the size of the fuzzy rules base","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Asia International Conference on Modelling & Simulation (AMS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2007.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper proposes a new tool for measuring e-readiness (the investment climate) of a country. Firstly, this paper presents some of the difficulties (e.g. imprecise data) in measuring e-readiness of a country. Secondly, this paper presents a fuzzy logic model of a new tool for measuring e-readiness, as fuzzy logic is well suited for working with imprecise data. Finally, this paper presents a hybrid tool for measuring e-readiness. The hybrid model uses fuzzy logic together with array-based logic. The main reason for proposing the hybrid tool is to reduce the size of the fuzzy rules base