A Principled Analysis of Merging Operations in Possibilistic Logic

01/16/2013
by   Salem Benferhat, et al.
0

Possibilistic logic offers a qualitative framework for representing pieces of information associated with levels of uncertainty of priority. The fusion of multiple sources information is discussed in this setting. Different classes of merging operators are considered including conjunctive, disjunctive, reinforcement, adaptive and averaging operators. Then we propose to analyse these classes in terms of postulates. This is done by first extending the postulate for merging classical bases to the case where priorites are avaialbe.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/19/2012

Exploring the rationality of some syntactic merging operators (extended version)

Most merging operators are defined by semantics methods which have very ...
research
03/15/2012

Merging Knowledge Bases in Possibilistic Logic by Lexicographic Aggregation

Belief merging is an important but difficult problem in Artificial Intel...
research
03/07/2000

On the semantics of merging

Intelligent agents are often faced with the problem of trying to merge p...
research
01/10/2013

A Forgetting-based Approach to Merging Knowledge Bases

This paper presents a novel approach based on variable forgetting, which...
research
05/05/2022

Region-Based Merging of Open-Domain Terminological Knowledge

This paper introduces a novel method for merging open-domain terminologi...
research
01/10/2013

Graphical readings of possibilistic logic bases

Possibility theory offers either a qualitive, or a numerical framework f...
research
04/29/2022

Who's the Expert? On Multi-source Belief Change

Consider the following belief change/merging scenario. A group of inform...

Please sign up or login with your details

Forgot password? Click here to reset