{"title":"颗粒计算在扩展犯罪侦查系统中的应用","authors":"Yunhua Chen, Yongquan Yu, Bi Zeng, Minghui Wang","doi":"10.1109/GrC.2007.35","DOIUrl":null,"url":null,"abstract":"aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the complexity of the extension inference.","PeriodicalId":126161,"journal":{"name":"IEEE International Conference on Granular Computing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Granular Computing in Extension Criminal Reconnaissance System\",\"authors\":\"Yunhua Chen, Yongquan Yu, Bi Zeng, Minghui Wang\",\"doi\":\"10.1109/GrC.2007.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the complexity of the extension inference.\",\"PeriodicalId\":126161,\"journal\":{\"name\":\"IEEE International Conference on Granular Computing\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GrC.2007.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GrC.2007.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Granular Computing in Extension Criminal Reconnaissance System
aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the complexity of the extension inference.