Assessing the Value of a Candidate: Comparing Belief Function and Possibility Theories
Abstract
The problem of assessing the value of a candidate is viewed here as a multiple combination problem. On the one hand a candidate can be evaluated according to different criteria, and on the other hand several experts are supposed to assess the value of candidates according to each criterion. Criteria are not equally important, experts are not equally competent or reliable. Moreover levels of satisfaction of criteria, or levels of confidence are only assumed to take their values in qualitative scales which are just linearly ordered. The problem is discussed within the framework of possibility theory which offers a qualitative setting for handling it.
Cite
Text
Dubois et al. "Assessing the Value of a Candidate: Comparing Belief Function and Possibility Theories." Conference on Uncertainty in Artificial Intelligence, 1999. doi:10.1007/3-540-48747-6_13Markdown
[Dubois et al. "Assessing the Value of a Candidate: Comparing Belief Function and Possibility Theories." Conference on Uncertainty in Artificial Intelligence, 1999.](https://mlanthology.org/uai/1999/dubois1999uai-assessing/) doi:10.1007/3-540-48747-6_13BibTeX
@inproceedings{dubois1999uai-assessing,
title = {{Assessing the Value of a Candidate: Comparing Belief Function and Possibility Theories}},
author = {Dubois, Didier and Grabisch, Michel and Prade, Henri and Smets, Philippe},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1999},
pages = {170-177},
doi = {10.1007/3-540-48747-6_13},
url = {https://mlanthology.org/uai/1999/dubois1999uai-assessing/}
}