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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongrui Wu Mendel, J.M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Ave., Los Angeles, CA 90089-2564 (Dongrui Wu; Mendel, J.M.) |
| Abstract | Perceptual reasoning (PR) is an approximate reasoning method that can be used as a computing with words (CWW) engine in perceptual computing. There can be different approaches to implement PR, e.g., PR using firing intervals is proposed in [8], [9], [16], and similarity-based PR is proposed in this paper. Both approaches satisfy the constraint on a CWW engine, i.e., the result of combining fired rules should lead to a footprint of uncertainty (FOU) that resembles the three kinds of FOUs in a CWW codebook. A comparative study shows that the output FOUs from similarity-based PR more closely resemble the three kinds of FOUs in a codebook, and the resulting linguistic descriptions are more intuitive; so, similarity-based PR is a better choice for a CWW engine. |
| Starting Page | 700 |
| Ending Page | 705 |
| File Size | 458399 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435968 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.2009.5277374 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-20 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Engines Uncertainty Fuzzy sets Knowledge based systems Fuzzy logic Frequency selective surfaces Concrete Signal processing Image processing Computational modeling similarity Computing with words perceptual computing perceptual reasoning interval type-2 fuzzy sets rule-based systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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