Measuring Inconsistency over Sequences of Business Rule Cases
This work addresses inconsistency assessment for business rule management, but it appears incremental as it extends existing measures to multisets with new postulates.
The paper tackles the problem of measuring inconsistency across sequences of business rule bases, which is necessary for companies dealing with thousands of instances daily, by proposing an approach to derive multiset-measures from traditional inconsistency measures and analyzing their complexity.
In this report, we investigate (element-based) inconsistency measures for multisets of business rule bases. Currently, related works allow to assess individual rule bases, however, as companies might encounter thousands of such instances daily, studying not only individual rule bases separately, but rather also their interrelations becomes necessary, especially in regard to determining suitable re-modelling strategies. We therefore present an approach to induce multiset-measures from arbitrary (traditional) inconsistency measures, propose new rationality postulates for a multiset use-case, and investigate the complexity of various aspects regarding multi-rule base inconsistency measurement.