{"title":"基于博弈论的FCA模式结构的相对相似性和稳定性","authors":"B. P. Bhuyan","doi":"10.1109/CSCITA.2017.8066554","DOIUrl":null,"url":null,"abstract":"Pattern Structure is a generalization of Formal Concept Analysis, comprising of objects and their description forming pattern concepts. Stability is an important measure to rank such concepts. However, in relation to similarity, stability is measured by a crisp computation. In this paper, a new Game Theory based technique is proposed to compute relatively stable concepts with high similarity. It is shown that the new proposed method can also be extended to multidimensional patterns.","PeriodicalId":299147,"journal":{"name":"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Relative similarity and stability in FCA pattern structures using game theory\",\"authors\":\"B. P. Bhuyan\",\"doi\":\"10.1109/CSCITA.2017.8066554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pattern Structure is a generalization of Formal Concept Analysis, comprising of objects and their description forming pattern concepts. Stability is an important measure to rank such concepts. However, in relation to similarity, stability is measured by a crisp computation. In this paper, a new Game Theory based technique is proposed to compute relatively stable concepts with high similarity. It is shown that the new proposed method can also be extended to multidimensional patterns.\",\"PeriodicalId\":299147,\"journal\":{\"name\":\"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCITA.2017.8066554\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCITA.2017.8066554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relative similarity and stability in FCA pattern structures using game theory
Pattern Structure is a generalization of Formal Concept Analysis, comprising of objects and their description forming pattern concepts. Stability is an important measure to rank such concepts. However, in relation to similarity, stability is measured by a crisp computation. In this paper, a new Game Theory based technique is proposed to compute relatively stable concepts with high similarity. It is shown that the new proposed method can also be extended to multidimensional patterns.