{"title":"Generating KPI sets using genetic algorithms","authors":"David Plandor, L. Landryová","doi":"10.1109/CARPATHIANCC.2012.6228708","DOIUrl":null,"url":null,"abstract":"This article aims to design and develop an application for generating KPIs (key performance indicators) for a company using genetic algorithms. Business self-assessment results and their fitness evaluation are used.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPATHIANCC.2012.6228708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This article aims to design and develop an application for generating KPIs (key performance indicators) for a company using genetic algorithms. Business self-assessment results and their fitness evaluation are used.
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