{"title":"基于粗糙集和粒子群优化的智能决策方法","authors":"Yan Yu, Jian-Hua Wang, Jianfeng Zhu","doi":"10.1109/ICCMS.2010.188","DOIUrl":null,"url":null,"abstract":"The evaluation of intelligent decision making is a key quagmire. Given the current status of intelligent decision making archetypes, analysts clearly desire the rough sets and particle swarm optimization, which embodies the practical principles of cryptography. Our focus in our research is not on whether the intelligent decision making problem and the rough sets are rarely incompatible, but rather on proposing an analysis of optimal method for intelligent decision making.","PeriodicalId":153175,"journal":{"name":"2010 Second International Conference on Computer Modeling and Simulation","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Method for Intelligent Decision Making Based Rough Sets and Particle Swarm Optimization\",\"authors\":\"Yan Yu, Jian-Hua Wang, Jianfeng Zhu\",\"doi\":\"10.1109/ICCMS.2010.188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The evaluation of intelligent decision making is a key quagmire. Given the current status of intelligent decision making archetypes, analysts clearly desire the rough sets and particle swarm optimization, which embodies the practical principles of cryptography. Our focus in our research is not on whether the intelligent decision making problem and the rough sets are rarely incompatible, but rather on proposing an analysis of optimal method for intelligent decision making.\",\"PeriodicalId\":153175,\"journal\":{\"name\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMS.2010.188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMS.2010.188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method for Intelligent Decision Making Based Rough Sets and Particle Swarm Optimization
The evaluation of intelligent decision making is a key quagmire. Given the current status of intelligent decision making archetypes, analysts clearly desire the rough sets and particle swarm optimization, which embodies the practical principles of cryptography. Our focus in our research is not on whether the intelligent decision making problem and the rough sets are rarely incompatible, but rather on proposing an analysis of optimal method for intelligent decision making.
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