{"title":"模糊严格命令的专家分配","authors":"S.O. Smerchinskaya, R.R. Yamanaeva","doi":"10.17759/mda.2024140204","DOIUrl":null,"url":null,"abstract":"The paper presents a method for interviewing experts for the case of aggregating fuzzy preferences specified through pairwise comparison of alternatives. The possibility of reducing the number of questions asked to experts during a interviewing is shown. Using an example, we analyze the use of a fuzzy transitive closure for a binary relation being created by an expert during a interviewing, and due to this, reducing the number of comparisons.","PeriodicalId":186451,"journal":{"name":"Моделирование и анализ данных","volume":"41 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Expert Assignment of Fuzzy Strict Orders\",\"authors\":\"S.O. Smerchinskaya, R.R. Yamanaeva\",\"doi\":\"10.17759/mda.2024140204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a method for interviewing experts for the case of aggregating fuzzy preferences specified through pairwise comparison of alternatives. The possibility of reducing the number of questions asked to experts during a interviewing is shown. Using an example, we analyze the use of a fuzzy transitive closure for a binary relation being created by an expert during a interviewing, and due to this, reducing the number of comparisons.\",\"PeriodicalId\":186451,\"journal\":{\"name\":\"Моделирование и анализ данных\",\"volume\":\"41 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Моделирование и анализ данных\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17759/mda.2024140204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Моделирование и анализ данных","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17759/mda.2024140204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a method for interviewing experts for the case of aggregating fuzzy preferences specified through pairwise comparison of alternatives. The possibility of reducing the number of questions asked to experts during a interviewing is shown. Using an example, we analyze the use of a fuzzy transitive closure for a binary relation being created by an expert during a interviewing, and due to this, reducing the number of comparisons.
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