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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lin, T.Y. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., San Jose State Univ., CA (Lin, T.Y.) |
| Abstract | What is granular computing? As the author have said in (T.Y. Lin, 2006): There are no mathematically valid formal definitions yet. Informally, any computing theory/technology that involves elements and granules (generalized subsets) may be called granular computing (GrC). Intuitively, elements are the data, and granules are the basic knowledge. So granular computing includes data and knowledge computing/engineering, data mining, knowledge discovery, learning and the uncertainty management (granules of no knowledge). We may lump these subfields into AI-engineering. Here granules are interpreted as generalized subsets that include classical subsets, fuzzy subsets, and sets with neighborhood systems (e.g., the alpha cut as neighborhood systems of the cores). As fuzzy sets are defined by membership functions which are bounded real-valued functions, so we will extend further to all functions, even to generalized functions (e.g. Dirac functions), measures/probabilities, generalized measures (e.g. belief functions) |
| Sponsorship | IEEE CPS |
| Starting Page | 22 |
| Ending Page | 23 |
| File Size | 88549 |
| Page Count | 2 |
| File Format | |
| ISBN | 0769526551 |
| ISSN | 07303157 |
| DOI | 10.1109/COMPSAC.2006.51 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-17 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer security Data security Uncertainty Mathematical model Mathematics Information security Data mining Fuzzy sets Application software Military computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Software |
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