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

01/23/2013
by   Didier Dubois, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8

research
03/06/2013

On reasoning in networks with qualitative uncertainty

In this paper some initial work towards a new approach to qualitative re...
research
03/20/2013

Compatibility of Quantitative and Qualitative Representations of Belief

The compatibility of quantitative and qualitative representations of bel...
research
07/11/2012

A Unified framework for order-of-magnitude confidence relations

The aim of this work is to provide a unified framework for ordinal repre...
research
05/06/2010

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 ...
research
08/04/2019

Criteria for assessing grant applications: A systematic review

Criteria are an essential component of any procedure for assessing merit...
research
01/16/2018

One Way Function Candidate based on the Collatz Problem

The one way function based on Collatz problem is proposed. While Colatz ...

Please sign up or login with your details

Forgot password? Click here to reset