{"title":"评价因素因果关系的模糊模型","authors":"D. Nazarov","doi":"10.1109/SCM.2017.7970746","DOIUrl":null,"url":null,"abstract":"Is devoted to the study of models of the causality of factors in socio-economic systems and processes. The author suggests a study of the causality of factors based on the theory of fuzzy binary relations using the mathematical apparatus of fuzzy implication (according to Goguen J.). As an example, the impact of corporate culture indicators on key performance indicators of the organization is given.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"os-42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fuzzy model for assessment of causality of factors\",\"authors\":\"D. Nazarov\",\"doi\":\"10.1109/SCM.2017.7970746\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Is devoted to the study of models of the causality of factors in socio-economic systems and processes. The author suggests a study of the causality of factors based on the theory of fuzzy binary relations using the mathematical apparatus of fuzzy implication (according to Goguen J.). As an example, the impact of corporate culture indicators on key performance indicators of the organization is given.\",\"PeriodicalId\":315574,\"journal\":{\"name\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"os-42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2017.7970746\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy model for assessment of causality of factors
Is devoted to the study of models of the causality of factors in socio-economic systems and processes. The author suggests a study of the causality of factors based on the theory of fuzzy binary relations using the mathematical apparatus of fuzzy implication (according to Goguen J.). As an example, the impact of corporate culture indicators on key performance indicators of the organization is given.
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