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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Inoue, A. Ralescu, A.L. | 
| Copyright Year | 1999 | 
| Description | Author affiliation: Cincinnati Univ., OH, USA (Inoue, A.) | 
| Abstract | A robust information processing method with respect to user's perceptions, named perceptual information processing (PIP), is studied. This method uses fuzzy sets representing concepts biased by perception and a soft computing method called mass assignment theory to manage consistencies between a histogram as actual data and a fuzzy set as a concept. In order to generate a fuzzy set from a mass assignment its focal elements must be nested, i.e. any focal element with fewer number of elements is subsumed to others with the larger one. This is problematic for PIP particularly for the aggregation of histograms at mass assignment level in conceptualization and refinement tasks. It is thus necessary to generate a fuzzy set from any mass assignment without nested focal elements. The reconstruction of a mass assignment with nested focal elements through the probability distribution of the one without them is studied. | 
| Starting Page | 208 | 
| Ending Page | 212 | 
| File Size | 363189 | 
| Page Count | 5 | 
| File Format | |
| ISBN | 0780352114 | 
| DOI | 10.1109/NAFIPS.1999.781684 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 1999-06-10 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Information processing Histograms Probability distribution Fuzzy sets Electronic mail Feature extraction Laboratories Robustness Distributed computing Text processing | 
| Content Type | Text | 
| Resource Type | Article | 
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