{"title":"认知地图的模糊统计方法:芬兰奶牛场盈利能力建模的应用","authors":"Antti Hyvarinen, V. Niskanen","doi":"10.1109/COGINFOCOM.2017.8268225","DOIUrl":null,"url":null,"abstract":"The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fuzzy-statistical approach to cognitive maps: Application to modelling finnish dairy farms' profitability\",\"authors\":\"Antti Hyvarinen, V. Niskanen\",\"doi\":\"10.1109/COGINFOCOM.2017.8268225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.\",\"PeriodicalId\":212559,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGINFOCOM.2017.8268225\",\"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 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2017.8268225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy-statistical approach to cognitive maps: Application to modelling finnish dairy farms' profitability
The fuzzy cognitive maps may arouse problems in interpretation, collective knowledge acquisition and stability. We thus suggest a method which applies stepwise regression method and fuzzy rule-based reasoning in model construction, and correlations in interpretation. The Finnish dairy farms' profitability is considered as an example. These methods base on historic data. Hence, we may obtain outcomes which are better understood by the users and provides better collective knowledge.
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