{"title":"基于有序效用的信息度量模型","authors":"Zhu Weiqing, Liu Zhenyu","doi":"10.1109/ICFCSA.2011.42","DOIUrl":null,"url":null,"abstract":"Information measurement is based on cardinal utility whether probability information measurement or grammatical information measurement, or uncertainty information measurement. But for managers, they care about the value of information for decision-making, not what quantity of information itself. The article uses ordinal utility theory to measure information, and to sort of information utility, thereby reduces the complex and cumbersome calculation process of information for decision-making in management.","PeriodicalId":141108,"journal":{"name":"2011 International Conference on Future Computer Sciences and Application","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Measurement Model Based on Ordinal Utility\",\"authors\":\"Zhu Weiqing, Liu Zhenyu\",\"doi\":\"10.1109/ICFCSA.2011.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information measurement is based on cardinal utility whether probability information measurement or grammatical information measurement, or uncertainty information measurement. But for managers, they care about the value of information for decision-making, not what quantity of information itself. The article uses ordinal utility theory to measure information, and to sort of information utility, thereby reduces the complex and cumbersome calculation process of information for decision-making in management.\",\"PeriodicalId\":141108,\"journal\":{\"name\":\"2011 International Conference on Future Computer Sciences and Application\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Future Computer Sciences and Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFCSA.2011.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Future Computer Sciences and Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFCSA.2011.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Measurement Model Based on Ordinal Utility
Information measurement is based on cardinal utility whether probability information measurement or grammatical information measurement, or uncertainty information measurement. But for managers, they care about the value of information for decision-making, not what quantity of information itself. The article uses ordinal utility theory to measure information, and to sort of information utility, thereby reduces the complex and cumbersome calculation process of information for decision-making in management.