Faiza Khaliq, F. Afzal, A. Rehman, Nauman Aziz, Dr Fareeha Zafar
{"title":"Evaluate the Performance Parameters for Web browsers Empowered with Fuzzy logic","authors":"Faiza Khaliq, F. Afzal, A. Rehman, Nauman Aziz, Dr Fareeha Zafar","doi":"10.1109/ICBATS57792.2023.10111119","DOIUrl":null,"url":null,"abstract":"In recent years, the Web browser achieved huge popularity in academic as well as industrial circles. A large number of web services and applications are trying to make their performance efficient. Decreasing the waiting of fetch Web browser has become a real challenge. This paper presents a parameter estimation methodology and model that measure the performance of Web browser. A system that displays a wide and natural manner of thinking based on a Multiple Criteria Decision-Making process. In this research paper, the proposed system uses different kinds of parameters to estimate the efficiency of the browser empowered with the Fuzzy logic to elaborate on this problem.","PeriodicalId":127835,"journal":{"name":"2023 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Business Analytics for Technology and Security (ICBATS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBATS57792.2023.10111119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the Web browser achieved huge popularity in academic as well as industrial circles. A large number of web services and applications are trying to make their performance efficient. Decreasing the waiting of fetch Web browser has become a real challenge. This paper presents a parameter estimation methodology and model that measure the performance of Web browser. A system that displays a wide and natural manner of thinking based on a Multiple Criteria Decision-Making process. In this research paper, the proposed system uses different kinds of parameters to estimate the efficiency of the browser empowered with the Fuzzy logic to elaborate on this problem.