Abstract
We present a fuzzy similarity approach to address text classification problem. The effectiveness of several fuzzy conjunction and disjunction operators used in a fussy similarity formula and on several document representations were evaluated using test sets from three text document collections. Based on empirical results obtained from using these collections, a special case of the fuzzy similarity formula performs very well.
| Original language | English (US) |
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| Title of host publication | IEEE International Conference on Fuzzy Systems |
| Publisher | IEEE |
| Pages | 653-658 |
| Number of pages | 6 |
| Volume | 2 |
| State | Published - 2000 |
| Event | FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, USA Duration: May 7 2000 → May 10 2000 |
Other
| Other | FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems |
|---|---|
| City | San Antonio, TX, USA |
| Period | 5/7/00 → 5/10/00 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics