Assessing the value of a candidate. Comparing belief function and possibility theories

by   Didier Dubois, et al.

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 two frameworks, the transferable belief model and the qualitative possibility theory. They respectively offer a quantitative and a qualitative setting for handling the problem, providing thus a way to compare the nature of the underlying assumptions.



There are no comments yet.


page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8


On reasoning in networks with qualitative uncertainty

In this paper some initial work towards a new approach to qualitative re...

Compatibility of Quantitative and Qualitative Representations of Belief

The compatibility of quantitative and qualitative representations of bel...

A Unified framework for order-of-magnitude confidence relations

The aim of this work is to provide a unified framework for ordinal repre...

A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

Mountain river torrents and snow avalanches generate human and material ...

Criteria for assessing grant applications: A systematic review

Criteria are an essential component of any procedure for assessing merit...

Comparing Process Calculi Using Encodings

Encodings or the proof of their absence are the main way to compare proc...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.