{"title":"测量理论与亚群体","authors":"M. J. Wierman, W. J. Tastle","doi":"10.1109/NAFIPS.2010.5548269","DOIUrl":null,"url":null,"abstract":"The connection between logical implication and the subsethood relationship is apparent when bivalent logic and crisp set theory are examined. When fuzzy logic and fuzzy set theory are examined, however the connection is not always clear. Ragin Ragin (1987) introduced fuzzy subsethood into the social sciences as a tool for detecting necessary and sufficient conditions. Unfortunately, Ragin's efforts were dismissed by social scientists becasue of the problem of scale. This paper examines the use of fuzzy subsethood as tools for detecting causality.","PeriodicalId":394892,"journal":{"name":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Measurement theory and subsethood\",\"authors\":\"M. J. Wierman, W. J. Tastle\",\"doi\":\"10.1109/NAFIPS.2010.5548269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The connection between logical implication and the subsethood relationship is apparent when bivalent logic and crisp set theory are examined. When fuzzy logic and fuzzy set theory are examined, however the connection is not always clear. Ragin Ragin (1987) introduced fuzzy subsethood into the social sciences as a tool for detecting necessary and sufficient conditions. Unfortunately, Ragin's efforts were dismissed by social scientists becasue of the problem of scale. This paper examines the use of fuzzy subsethood as tools for detecting causality.\",\"PeriodicalId\":394892,\"journal\":{\"name\":\"2010 Annual Meeting of the North American Fuzzy Information Processing Society\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Annual Meeting of the North American Fuzzy Information Processing Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.2010.5548269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Annual Meeting of the North American Fuzzy Information Processing Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2010.5548269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The connection between logical implication and the subsethood relationship is apparent when bivalent logic and crisp set theory are examined. When fuzzy logic and fuzzy set theory are examined, however the connection is not always clear. Ragin Ragin (1987) introduced fuzzy subsethood into the social sciences as a tool for detecting necessary and sufficient conditions. Unfortunately, Ragin's efforts were dismissed by social scientists becasue of the problem of scale. This paper examines the use of fuzzy subsethood as tools for detecting causality.
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