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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen, W.L. Cheng, J.X. |
| Copyright Year | 2005 |
| Description | Author affiliation: Key Lab. of Intelligent Comput. & Signal Process., Anhui Univ., Hefei, China (Chen, W.L.; Cheng, J.X.) |
| Abstract | Quotient space theory of problem solving, a formal model of granular computing, is generalized in the sense that topological structure is replaced by Cech's closure space. Some basic issues of granular computing, such as the representation of real world at different levels of granularity, property preserving and the construction of granular world, are discussed in detail. It turns out that most of conclusions of the classical quotient space theory keep being valid, so intension and applicable fields are enriched and enlarged respectively. |
| Sponsorship | IEEE Comput. Intelligence Soc |
| Starting Page | 121 |
| Ending Page | 124 |
| File Size | 819204 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780390172 |
| DOI | 10.1109/GRC.2005.1547248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-07-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Lattices Closure Space Path planning Topology Intelligent structures Granular Computing Processor scheduling Quotient Space Theory Signal processing Set theory Problem-solving Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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