Qualitative Decision Making Under Possibilistic Uncertainty: Toward more discriminating criteria

07/04/2012
by   Paul Weng, et al.
0

The aim of this paper is to propose a generalization of previous approaches in qualitative decision making. Our work is based on the binary possibilistic utility (PU), which is a possibilistic counterpart of Expected Utility (EU).We first provide a new axiomatization of PU and study its relation with the lexicographic aggregation of pessimistic and optimistic utilities. Then we explain the reasons of the coarseness of qualitative decision criteria. Finally, thanks to a redefinition of possibilistic lotteries and mixtures, we present the refined binary possibilistic utility, which is more discriminating than previously proposed criteria.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/10/2013

A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory

In this paper we analyze two recent axiomatic approaches proposed by Dub...
research
02/14/2012

On the Complexity of Decision Making in Possibilistic Decision Trees

When the information about uncertainty cannot be quantified in a simple,...
research
07/04/2012

Efficient algorithm for estimation of qualitative expected utility in possibilistic case-based reasoning

We propose an efficient algorithm for estimation of possibility based qu...
research
06/24/2016

The optimality of coarse categories in decision-making and information storage

An agent who lacks preferences and instead makes decisions using criteri...
research
01/30/2013

Qualitative Decision Theory with Sugeno Integrals

This paper presents an axiomatic framework for qualitative decision unde...
research
02/06/2019

A Guiding Principle for Causal Decision Problems

We define a Causal Decision Problem as a Decision Problem where the avai...
research
01/23/2013

Qualitative Models for Decision Under Uncertainty without the Commensurability Assumption

This paper investigates a purely qualitative version of Savage's theory ...

Please sign up or login with your details

Forgot password? Click here to reset