A Principled Analysis of Merging Operations in Possibilistic Logic
Abstract
Possibilistic logic offers a qualitative framework for representing pieces of information associated with levels of uncertainty or priority. The fusion of multiple sources information is discussed in this setting. Different classes of merging operators are considered including conjunctive, disjunctive, reinforcement, adaptive and averaging operators. Then we propose to analyse these classes in terms of postulates. This is done by first extending the postulates for merging classical bases to the case where priorities are available.
Cite
Text
Kaci et al. "A Principled Analysis of Merging Operations in Possibilistic Logic." Conference on Uncertainty in Artificial Intelligence, 2000.Markdown
[Kaci et al. "A Principled Analysis of Merging Operations in Possibilistic Logic." Conference on Uncertainty in Artificial Intelligence, 2000.](https://mlanthology.org/uai/2000/kaci2000uai-principled/)BibTeX
@inproceedings{kaci2000uai-principled,
title = {{A Principled Analysis of Merging Operations in Possibilistic Logic}},
author = {Kaci, Souhila and Benferhat, Salem and Dubois, Didier and Prade, Henri},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2000},
pages = {24-31},
url = {https://mlanthology.org/uai/2000/kaci2000uai-principled/}
}