{"title":"基于盲数和变量模糊集理论的电能质量综合评价模型","authors":"H. Zhong, Qingmin Li","doi":"10.1109/ICAM.2016.7813608","DOIUrl":null,"url":null,"abstract":"Given that dynamically variability and uncertainty (randomness, fuzziness, grayness and unsacertainty) exist in comprehensive evaluation of power quality, this paper described and treated the uncertainty information reasonably in index parameter, boundary and weight. Based on the variable fuzzy sets evaluation method, blind number theory was introduced into power quality evaluation to deal with the uncertainty problems, and a comprehensive evaluation model based on blind number and variable fuzzy sets theory was proposed. Superiority and effectiveness of the suggested method can be verified by case study, therefore, the model can be used to evaluate power quality in the power quality management.","PeriodicalId":179100,"journal":{"name":"2016 International Conference on Integrated Circuits and Microsystems (ICICM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A comprehensive evaluation model of power quality based on blind number and variable fuzzy sets theory\",\"authors\":\"H. Zhong, Qingmin Li\",\"doi\":\"10.1109/ICAM.2016.7813608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given that dynamically variability and uncertainty (randomness, fuzziness, grayness and unsacertainty) exist in comprehensive evaluation of power quality, this paper described and treated the uncertainty information reasonably in index parameter, boundary and weight. Based on the variable fuzzy sets evaluation method, blind number theory was introduced into power quality evaluation to deal with the uncertainty problems, and a comprehensive evaluation model based on blind number and variable fuzzy sets theory was proposed. Superiority and effectiveness of the suggested method can be verified by case study, therefore, the model can be used to evaluate power quality in the power quality management.\",\"PeriodicalId\":179100,\"journal\":{\"name\":\"2016 International Conference on Integrated Circuits and Microsystems (ICICM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Integrated Circuits and Microsystems (ICICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAM.2016.7813608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Integrated Circuits and Microsystems (ICICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAM.2016.7813608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comprehensive evaluation model of power quality based on blind number and variable fuzzy sets theory
Given that dynamically variability and uncertainty (randomness, fuzziness, grayness and unsacertainty) exist in comprehensive evaluation of power quality, this paper described and treated the uncertainty information reasonably in index parameter, boundary and weight. Based on the variable fuzzy sets evaluation method, blind number theory was introduced into power quality evaluation to deal with the uncertainty problems, and a comprehensive evaluation model based on blind number and variable fuzzy sets theory was proposed. Superiority and effectiveness of the suggested method can be verified by case study, therefore, the model can be used to evaluate power quality in the power quality management.
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