{"title":"基于模糊规则的模型:决策vs控制","authors":"Alexandre Piskounov","doi":"10.1109/FUZZ.2003.1209344","DOIUrl":null,"url":null,"abstract":"Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy rule-based models: decision-making vs control\",\"authors\":\"Alexandre Piskounov\",\"doi\":\"10.1109/FUZZ.2003.1209344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.\",\"PeriodicalId\":212172,\"journal\":{\"name\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZ.2003.1209344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ.2003.1209344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy rule-based models: decision-making vs control
Fuzzy rule-based models play an important role both in control and decision-making. In the latter case because of decision-maker involvement, fuzzy inputs and outputs not only allowed but also required. In spite of such differences of these two problems rule-based models for decision-making are designed and implemented in the same way as in control. Some issues specific for rule-based decision-making models are discussed, including rule-base consistency.
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