The interpretation of data coming from the real world may require different and often complementary uncertainty models: some are better described by possibility theory, others are intrinsically probabilistic. A logic for belief functions is introduced to axiomatize both semantics as special cases. A
โฆ LIBER โฆ
Knowledge induction from uncertain information systems
โ Scribed by Jiang Yajun; Lou Zhenliang
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 185 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0268-3768
No coin nor oath required. For personal study only.
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