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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ling Wei Qing Wan |
| Copyright Year | 2013 |
| Abstract | As an important tool for data analysis and knowledge processing, formal concept analysis has been applied to many fields. Currently, granular computing (GrC) provides a novel approach for data analysis. In this paper, pictorial diagrams of a formal context are first defined based on equivalence relations. And then, from the viewpoint of GrC, the transformation between equivalence classes and three kinds of concepts (formal concept, property oriented concept, and object oriented concept) in formal contexts are studied. Further, using the relationships between arrow relations proposed by Wille and Ganter and irreducible elements of a concept lattice, the new judgment theorems for join(meet)-irreducible elements of a concept lattice, join-irreducible elements of a property oriented concept lattice and an object oriented concept lattice are achieved. |
| Page Count | 8 |
| File Size | 661072 |
| Starting Page | 380 |
| Ending Page | 387 |
| File Format | |
| ISSN | 21682267 |
| Volume Number | 46 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lattices Context Mercury (metals) Frequency modulation Cybernetics Indexes Object oriented modeling pictorial {diagrams.} Arrow relations formal concept granular computing (GrC) join(meet)-irreducible elements pictorial diagrams |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software |
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