{"title":"岩石分类专家系统","authors":"Tian Shengfeng, Zhang Qing, Mo Yuanbin","doi":"10.1109/ICPR.1988.28315","DOIUrl":null,"url":null,"abstract":"A system to classify rock mass is described. The knowledge of experts is divided into two parts: the knowledge about the classification according to main parameters, and the knowledge about the evaluation of those parameters. The principle of classification is based on the fuzzy set theory. A scheme that calculates two agendas, or structure sets, plays an important role in the control strategy. This scheme provides a way to parallel a problem-solving method of human experts and raises efficiency.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A rock classification expert system\",\"authors\":\"Tian Shengfeng, Zhang Qing, Mo Yuanbin\",\"doi\":\"10.1109/ICPR.1988.28315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A system to classify rock mass is described. The knowledge of experts is divided into two parts: the knowledge about the classification according to main parameters, and the knowledge about the evaluation of those parameters. The principle of classification is based on the fuzzy set theory. A scheme that calculates two agendas, or structure sets, plays an important role in the control strategy. This scheme provides a way to parallel a problem-solving method of human experts and raises efficiency.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A system to classify rock mass is described. The knowledge of experts is divided into two parts: the knowledge about the classification according to main parameters, and the knowledge about the evaluation of those parameters. The principle of classification is based on the fuzzy set theory. A scheme that calculates two agendas, or structure sets, plays an important role in the control strategy. This scheme provides a way to parallel a problem-solving method of human experts and raises efficiency.<>
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