Projects per year
Abstract
Hunter and Konieczny explored the relationships between measures of inconsistency for a belief base and the minimal inconsistent subsets of that belief base
in several of their papers. In particular, an inconsistency value termed MIVC, defined from minimal inconsistent subsets, can be considered as a Shapley Inconsistency Value.
Moreover, it can be axiomatized completely in terms of five simple axioms. MinInc, one of the five axioms, states that each minimal inconsistent set has the same amount of conflict. However, it conflicts with the intuition illustrated by the lottery paradox, which states that as the size of a minimal inconsistent belief base increases, the degree of inconsistency of that belief base becomes smaller. To address this, we present two
kinds of revised inconsistency measures for a belief base from its minimal inconsistent subsets. Each of these measures considers the size of each minimal inconsistent subset
as well as the number of minimal inconsistent subsets of a belief base. More specifically, we first present a vectorial measure to capture the inconsistency for a belief base, which
is more discriminative than MIVC. Then we present a family of weighted inconsistency measures based on the vectorial inconsistency measure, which allow us to capture the
inconsistency for a belief base in terms of a single numerical value as usual. We also show that each of the two kinds of revised inconsistency measures can be considered
as a particular Shapley Inconsistency Value, and can be axiomatically characterized by the corresponding revised axioms presented in this paper.
Original language  English 

Pages (fromto)  85114 
Number of pages  30 
Journal  Knowledge and Information Systems 
Volume  27(1) 
Issue number  1 
DOIs  
Publication status  Published  Aug 2011 
ASJC Scopus subject areas
 Artificial Intelligence
 Software
 Information Systems
 Hardware and Architecture
 HumanComputer Interaction
Projects
 2 Active

R3209CSC: Merging Prioritized Knowledge Bases with Applications to Requirements Engineering
Bell, D., Hong, J. & Liu, W.
01/08/2009 → …
Project: Research

R1760CSC: Reasoning the uncertainty and inconsistency in structured scientific knowledge
Liu, W.
01/08/2005 → …
Project: Research