Abstract
Association analysis is proven to be one of the most useful techniques in data mining to analyze large datasets. In this paper, we apply association analysis to fuzzy datasets and show how it works in decision making process. We define three fundamental concepts: belief, compatibility, and plausibility for association analysis in terms of fuzzy logic. We further extend our study on association analysis with interval valued fuzzy sets and body of evidence. Applications with sample data are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 518-523 |
| Number of pages | 6 |
| Journal | IEEE International Conference on Fuzzy Systems |
| Volume | 1 |
| State | Published - 2002 |
| Event | 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: May 12 2002 → May 17 2002 |
ASJC Scopus Subject Areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics
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