Yonghua Tang, Qiang Fan, Chunmei Chang, Yifan Lu, L. Zou
{"title":"Construction Method of Triadic Concept Based on Linguistic Term Sets","authors":"Yonghua Tang, Qiang Fan, Chunmei Chang, Yifan Lu, L. Zou","doi":"10.1109/IHMSC52134.2021.00050","DOIUrl":null,"url":null,"abstract":"Aiming at the uncertainty of linguistic-valued information among multi-dimensional data, this paper proposes the linguistic-valued triadic contexts and two derivation operations about triadic linguistic concepts. We divide the linguistic-valued triadic contexts into conditional linguistic-valued sub-contexts, to study the relationship between triadic linguistic concepts in the linguistic-valued triadic contexts and conditional linguistic concepts in the conditional linguistic-valued subcontexts. Furthermore, in view of the relationship between them, this paper puts forward a construction method of triadic linguistic concepts with fuzzy attribute. The effectiveness and practicability of this method is illustrated by an example of the evaluation of teaching methods. The proposition of triadic concepts based on linguistic term sets provides a new approach to deal with the uncertainty relationship between three-dimensional and multidimensional data.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC52134.2021.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the uncertainty of linguistic-valued information among multi-dimensional data, this paper proposes the linguistic-valued triadic contexts and two derivation operations about triadic linguistic concepts. We divide the linguistic-valued triadic contexts into conditional linguistic-valued sub-contexts, to study the relationship between triadic linguistic concepts in the linguistic-valued triadic contexts and conditional linguistic concepts in the conditional linguistic-valued subcontexts. Furthermore, in view of the relationship between them, this paper puts forward a construction method of triadic linguistic concepts with fuzzy attribute. The effectiveness and practicability of this method is illustrated by an example of the evaluation of teaching methods. The proposition of triadic concepts based on linguistic term sets provides a new approach to deal with the uncertainty relationship between three-dimensional and multidimensional data.