{"title":"决策问题中模糊推理的客观化","authors":"L. Vershinina","doi":"10.31799/978-5-8088-1558-2-2021-2-5-7","DOIUrl":null,"url":null,"abstract":"The basis of modern decision support systems is not so much analytical and statistical models as the practical application of specialists ‘ knowledge. Such systems are based on fuzzy technologies. The quality of decisions made depends on how accurately the quality of information is reflected in the fuzzy inference process. Ways to improve the objectivity of fuzzy inference at the stages of fuzzification, aggregation, activation, and accumulation are proposed.","PeriodicalId":297099,"journal":{"name":"The Second All-Russian Scientific Conference","volume":"147 Pt 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OBJECTIFICATION OF FUZZY INFERENCE IN DECISION-MAKING PROBLEMS\",\"authors\":\"L. Vershinina\",\"doi\":\"10.31799/978-5-8088-1558-2-2021-2-5-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The basis of modern decision support systems is not so much analytical and statistical models as the practical application of specialists ‘ knowledge. Such systems are based on fuzzy technologies. The quality of decisions made depends on how accurately the quality of information is reflected in the fuzzy inference process. Ways to improve the objectivity of fuzzy inference at the stages of fuzzification, aggregation, activation, and accumulation are proposed.\",\"PeriodicalId\":297099,\"journal\":{\"name\":\"The Second All-Russian Scientific Conference\",\"volume\":\"147 Pt 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Second All-Russian Scientific Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31799/978-5-8088-1558-2-2021-2-5-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second All-Russian Scientific Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/978-5-8088-1558-2-2021-2-5-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OBJECTIFICATION OF FUZZY INFERENCE IN DECISION-MAKING PROBLEMS
The basis of modern decision support systems is not so much analytical and statistical models as the practical application of specialists ‘ knowledge. Such systems are based on fuzzy technologies. The quality of decisions made depends on how accurately the quality of information is reflected in the fuzzy inference process. Ways to improve the objectivity of fuzzy inference at the stages of fuzzification, aggregation, activation, and accumulation are proposed.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
