Measuring Inconsistency over Sequences of Business Rule Cases

TL;DR

This paper explores how to measure and analyze the inconsistency of multiple business rule bases collectively, addressing the challenge of managing large volumes of rule instances in companies.

Contribution

It introduces a novel approach to derive multiset inconsistency measures from traditional ones, along with new rationality postulates and complexity analysis.

Findings

Proposed a method to induce multiset measures from existing inconsistency measures.

Established new rationality postulates for multiset inconsistency assessment.

Analyzed the computational complexity of measuring multi-rule base inconsistency.

Abstract

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.