{"title":"Application Research of Determining Weight Coefficient Based on Improved Rough set theory in Evaluation of Distribution State","authors":"Luan Yu, Song Shanshan, Song Bin","doi":"10.1109/SPIES52282.2021.9633924","DOIUrl":null,"url":null,"abstract":"In the evaluation of the status of distribution transformers, the value of each component is reasonable or not will affect the accuracy of the evaluation results, and will also have a great impact on the decision-making of the power sector, so objective and reasonable weights can reflect the most true state of the transformer. In this paper, the method of determining the weight coefficient of evaluation index is discussed, and an improved rough set theory is proposed to determine the weight coefficient of distribution transformer state variables. By analyzing the basic theory of rough set, a general algorithm to determine the weight coefficient is given, and combined with the practical significance of the weight coefficient, the general algorithm of the weight coefficient is improved, and two methods are compared with each other by enumerating examples.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633924","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 the evaluation of the status of distribution transformers, the value of each component is reasonable or not will affect the accuracy of the evaluation results, and will also have a great impact on the decision-making of the power sector, so objective and reasonable weights can reflect the most true state of the transformer. In this paper, the method of determining the weight coefficient of evaluation index is discussed, and an improved rough set theory is proposed to determine the weight coefficient of distribution transformer state variables. By analyzing the basic theory of rough set, a general algorithm to determine the weight coefficient is given, and combined with the practical significance of the weight coefficient, the general algorithm of the weight coefficient is improved, and two methods are compared with each other by enumerating examples.