Assessing the value of a candidate: comparing belief function and possibility theories

Authors:
Didier Dubois;Michel Grabisch;Henri Prade;Philippe Smets
Affiliations:
Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, Toulouse Cedex, France;Thomson-CSF, Corporate Research Laboratory, Orsay, France;Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, Toulouse Cedex, France;IRIDIA UniversitC Libre de Bruxelles, Bruxelles, Belgium
Venue:
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Year:
1999

Citing 7
Cited 2

Weighted fuzzy pattern matching

Fuzzy Sets and Systems - Mathematical Modelling
Positive and negative explanations of uncertain reasoning in the framework of possibility theory

Fuzzy logic for the management of uncertainty
The transferable belief model

Artificial Intelligence
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Possibility theory as a basis for qualitative decision theory

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Qualitative decision theory with Sugeno integrals

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Some strategies for explanations in evidential reasoning

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Data Merging: Theory of Evidence vs. Knowledge-Bases Merging Operators

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A genetic encoding approach for learning methods for combining classifiers

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

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 linearly ordered scales, whose nature is often qualitative. 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.