{"title":"多专家系统的模糊推理","authors":"Junian Li, Tong Li, Liping Guo","doi":"10.1109/ISUMA.1995.527789","DOIUrl":null,"url":null,"abstract":"In multi expert systems (ES), difficulties arise when experts dealing with the same problem have different opinions, even opposite ones, which is especially true for traditional Chinese doctors. For the same patient, some doctors suggest a nourishing method and others recommend a dissipating method. Although diagnosis and therapy are completely contrasting among doctors the results may be the same. However, it would be difficult to combine their knowledge and rules together. The paper is intended to solve the above mentioned problem via automatic inference and decision in a multi expert system. Although the suggested model is especially suitable for the automatic inference and decision making in a medicinal multi expert system, it is generally useful for any multi expert systems.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The fuzzy reasoning of multi-expert system\",\"authors\":\"Junian Li, Tong Li, Liping Guo\",\"doi\":\"10.1109/ISUMA.1995.527789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In multi expert systems (ES), difficulties arise when experts dealing with the same problem have different opinions, even opposite ones, which is especially true for traditional Chinese doctors. For the same patient, some doctors suggest a nourishing method and others recommend a dissipating method. Although diagnosis and therapy are completely contrasting among doctors the results may be the same. However, it would be difficult to combine their knowledge and rules together. The paper is intended to solve the above mentioned problem via automatic inference and decision in a multi expert system. Although the suggested model is especially suitable for the automatic inference and decision making in a medicinal multi expert system, it is generally useful for any multi expert systems.\",\"PeriodicalId\":298915,\"journal\":{\"name\":\"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISUMA.1995.527789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISUMA.1995.527789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In multi expert systems (ES), difficulties arise when experts dealing with the same problem have different opinions, even opposite ones, which is especially true for traditional Chinese doctors. For the same patient, some doctors suggest a nourishing method and others recommend a dissipating method. Although diagnosis and therapy are completely contrasting among doctors the results may be the same. However, it would be difficult to combine their knowledge and rules together. The paper is intended to solve the above mentioned problem via automatic inference and decision in a multi expert system. Although the suggested model is especially suitable for the automatic inference and decision making in a medicinal multi expert system, it is generally useful for any multi expert systems.