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arXiv 2103.01108cs.AI
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业务规则用例序列上的不一致性度量

Measuring Inconsistency over Sequences of Business Rule Cases

University of Koblenz-Landau(科布伦茨-兰道大学);Institure for Information Systems Research(信息系统研究所);Institute for Web-Science and Technologies(网络科学与技术研究所)

Carl Corea, Matthias Thimm, Patrick Delfmann

摘要:

在这份报告中,我们调查(元素为基础的)不一致的措施,多套业务规则库。目前,相关的工作允许评估个别的规则基础,但是,由于公司可能会遇到成千上万的这样的情况下,每天,研究不仅单独的规则基础,而是他们的相互关系变得必要,特别是在确定合适的重新建模策略。因此,我们提出了一种方法来诱导多集措施从任意(传统)不一致的措施,提出了新的合理性假设的多集用例,并调查多规则库不一致性测量的各个方面的复杂性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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