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Purpose
Two major challenges remain in many decision-making problems, too many choices and contradictive criteria. It gets worse with large, complex, unstructured, and incomplete data. The proposed research program aims to utilize machine learning methods such as rough sets, game theory and granular computing for complex and critical decision makings. In particular, I will examine ternary decision-makings when multi-criteria are involved. Applications will be drawn from intrusion detection, financial prediction, and cancer diagnoses.
Yao, JingTao (University of Regina) × Unknown
1 grants totalling $0
Discovery Grants Program - Individual
1,000 grants totalling $33.6M
Related Grants
| Recipient | Amount | Program |
|---|---|---|
| Campbell, Karen (Brock University) | — | Discovery Grants Program - Individual |
| Langelaan, David (Dalhousie University) | — | Discovery Grants Program - Individual |
| Sinal, Christopher (Dalhousie University) | — | Discovery Grants Program - Individual |
| Ye, Winnie (Carleton University) | — | Discovery Grants Program - Individual |
| Huang, Changcheng (Carleton University) | — | Discovery Grants Program - Individual |