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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Can Wang Xi Yu |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Inf. Sci., Dalian Inst. of Sci. & Technol., Dalian, China (Can Wang; Xi Yu) |
| Abstract | Fuzzy concept lattice generated from fuzzy context (L-context) has been used in a number of fields, such as data mining, decision-making, information retrieval and so on. Recent works have achieved great success. In this paper, given a binary relation, we generated the fuzzy concept lattice. In order to make decision-making much easier, reducing the number of attributes without a large amount of information loss was preferred, a method of computing the similarity matrix was represented as well. We proposed an algorithm for attribute reduction and discussed the time complexity with comparison to the other algorithms afterwards. In the end, the method of computing choice value during decision-making was provided. |
| Starting Page | 441 |
| Ending Page | 446 |
| File Size | 259510 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479951482 |
| DOI | 10.1109/FSKD.2014.6980875 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Context Decision making Lattices similarity concept lattice Finite element analysis Data mining reduction Time complexity |
| Content Type | Text |
| Resource Type | Article |
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