{"title":"收缩阵列上的可能性证据推理系统","authors":"S. Mohiddin, Mohammed Atiquzzaman, T. Dillon","doi":"10.1109/FUZZY.1994.343708","DOIUrl":null,"url":null,"abstract":"Suggests a systolic array implementation of fuzzy expert systems based on possibilistic evidential reasoning methodology. Evidential reasoning systems are computationally-bounded in general, and fuzzy systems match a larger number of rules than in a simple symbolic reasoning system. The proposed possibilistic evidential system, which is a combination of both types of system, needs much more computation time than either of these two independently. To speed up the processing in such systems, the suggested implementation is useful.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"48 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Possibilistic evidential reasoning systems on systolic arrays\",\"authors\":\"S. Mohiddin, Mohammed Atiquzzaman, T. Dillon\",\"doi\":\"10.1109/FUZZY.1994.343708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Suggests a systolic array implementation of fuzzy expert systems based on possibilistic evidential reasoning methodology. Evidential reasoning systems are computationally-bounded in general, and fuzzy systems match a larger number of rules than in a simple symbolic reasoning system. The proposed possibilistic evidential system, which is a combination of both types of system, needs much more computation time than either of these two independently. To speed up the processing in such systems, the suggested implementation is useful.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"48 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1994.343708\",\"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 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Possibilistic evidential reasoning systems on systolic arrays
Suggests a systolic array implementation of fuzzy expert systems based on possibilistic evidential reasoning methodology. Evidential reasoning systems are computationally-bounded in general, and fuzzy systems match a larger number of rules than in a simple symbolic reasoning system. The proposed possibilistic evidential system, which is a combination of both types of system, needs much more computation time than either of these two independently. To speed up the processing in such systems, the suggested implementation is useful.<>