{"title":"Optimal Inventory of Computer Repair Parts: A Fuzzy Systems Approach","authors":"L. Sztandera","doi":"10.1109/PRDC.2010.38","DOIUrl":null,"url":null,"abstract":"The aim of this research is to use a data analysis/mining approach to extract information from a large number of failure equipment notifications, form a fuzzy system that would be capable of learning and optimizing the knowledge from historical evidence, and subsequently use it as a guiding tool in decision making processes.","PeriodicalId":382974,"journal":{"name":"2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2010.38","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 aim of this research is to use a data analysis/mining approach to extract information from a large number of failure equipment notifications, form a fuzzy system that would be capable of learning and optimizing the knowledge from historical evidence, and subsequently use it as a guiding tool in decision making processes.
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