In this paper, we explore the links between measures of inconsistency for a belief base and
the minimal inconsistent subsets of that belief base. The minimal inconsistent subsets can …

Inconsistency is a usually undesirable feature of many kinds of data and knowledge. But
altering the information in order to make it less inconsistent may result in the loss of …

Real-world data are often inconsistent. Although a substantial amount of research has been
done on measuring inconsistency, this research concentrated on knowledge bases …

Postulates for inconsistency measures are examined, the set of postulates due to Hunter
and Konieczny being the starting point. Objections are raised against a few individual …

Real-world databases are often inconsistent. Although there has been an extensive body of
work on handling inconsistency, little work has been done on measuring inconsistency in …

Handling conflicting information is an important challenge in AI. Measuring inconsistency is
an approach that provides ways to quantify the severity of inconsistency and helps …

It is well-known that knowledgebases may contain inconsistencies. We provide a framework
of measures, based on a first-order four-valued logic, to quantify the inconsistency of a …

We are faced with a torrent of data generated and captured in digital form as a result of the
advancement of sciences, engineering and technologies, and various social, economical …

Bearing contradictory knowledge is often unavoidable among multi-agents. Measuring
inconsistency degrees of knowledge bases of different agents facilitates the understanding …

This paper introduces active integrity constraints (AICs), an extension of integrity constraints
for consistent database maintenance. An active integrity constraint is a special constraint …