{"title":"使用广义单侧FCA方法连接简单对象-属性模型","authors":"P. Butka, J. Pócsová, J. Pócs","doi":"10.1109/SACI.2013.6608992","DOIUrl":null,"url":null,"abstract":"In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensive structure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes, what leads to benefits like better interpretation and understanding of output models and data.","PeriodicalId":304729,"journal":{"name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of generalized one-sided FCA approach for joining of simple object-attribute models\",\"authors\":\"P. Butka, J. Pócsová, J. Pócs\",\"doi\":\"10.1109/SACI.2013.6608992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensive structure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes, what leads to benefits like better interpretation and understanding of output models and data.\",\"PeriodicalId\":304729,\"journal\":{\"name\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2013.6608992\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2013.6608992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of generalized one-sided FCA approach for joining of simple object-attribute models
In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensive structure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes, what leads to benefits like better interpretation and understanding of output models and data.