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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peters, J.F. Ramanna, S. Skowron, A. Stepaniuk, J. Suraj, Z. |
| Copyright Year | 2001 |
| Description | Author affiliation: Manitoba Univ., Winnipeg, Man., Canada (Peters, J.F.) |
| Abstract | The paper introduces an application of a particular form of rough granular computing in fusing (combining) sensor readings. The intent of the paper is to describe a system that engages in a form of knowledge discovery based on sensor fusion. Such a system responds to sensor outputs in a manner that is selective, determines the relevance of each sensor in a classification effort, and constructs information granules computationally useful in arriving at a decision (proposed solution to a problem) in a problem-solving system. A sensor is a device that responds to each stimulus by converting its measured input to some form of usable output. Relevance of a sensor is computed with a rough integral that computes a form of ordered weighted average of sensor values. The construction of an information granule depends on the selection of a threshold for sensor values. Only those sensors with rough integral values approaching a selected threshold are fused (i.e., used to construct a granule). The contribution of the paper is the introduction of a sensor fusion method based on rough integration. By way of practical application, an approach to fusion of homogeneous sensors deemed relevant in a classification effort is considered. |
| Sponsorship | Int. Fuzzy Syst. Assoc. |
| Starting Page | 1367 |
| Ending Page | 1371 |
| File Size | 435197 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780370783 |
| DOI | 10.1109/NAFIPS.2001.943748 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-07-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensor fusion Sensor phenomena and characterization Sensor systems and applications Mathematics Sensor systems Problem-solving Rough sets Information systems Computer science Application software |
| Content Type | Text |
| Resource Type | Article |
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