Name
Abstract | ||
|---|---|---|
In possibility theory, there are two kinds of possibilistic causal networks depending if possibilistic conditioning is based on the minimum or on the product operator. Similarly there are also two kinds of possibilistic logic: standard (min-based) possibilistic logic and quantitative (product-based) possibilistic logic. Recently, several equivalent transformations between standard possibilistic logic and min-based causal networks have been proposed. This paper goes one step further and shows that product-based causal networks can be encoded into product-based knowledge bases. The converse transformation is also provided. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1142/S0218488505003618 | INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS |
Keywords | Field | DocType |
possibilistic logic, quantitative possibilistic bases, product-based causal networks | Computer science,Artificial intelligence,Machine learning | Conference |
Volume | Issue | ISSN |
13 | 5 | 0218-4885 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salem Benferhat | 1 | 2585 | 216.23 |
| Khellaf Faiza | 2 | 3 | 3.11 |
| Aïcha Mokhtari | 3 | 46 | 11.97 |