Rotation Based MSS/MCS Enumeration

Jaroslav Bendík, I. Cerná
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引用次数: 12

Abstract

Given an unsatisfiable Boolean Formula F in CNF, i.e., a set of clauses, one is often interested in identifying Maximal Satisfiable Subsets (MSSes) of F or, equivalently, the complements of MSSes called Minimal Correction Subsets (MCSes). Since MSSes (MC-Ses) find applications in many domains, e.g. diagnosis, ontologies debugging, or axiom pinpointing, several MSS enumeration algorithms have been proposed. Unfortunately, finding even a single MSS is often very hard since it naturally subsumes repeatedly solving the satisfiability problem. Moreover, there can be up to exponentially many MSSes, thus their complete enumeration is often practically intractable. Therefore, the algorithms tend to identify as many MSSes as possible within a given time limit. In this work, we present a novel MSS enumeration algorithm called RIME . Compared to existing algorithms, RIME is much more frugal in the number of performed satisfiability checks which we witness via an experimental comparison. Moreover, RIME is several times faster than existing tools.
基于轮换的MSS/MCS枚举
给定CNF中的一个不可满足布尔公式F,即一组子句,人们通常感兴趣的是确定F或的最大可满足子集(mss),即mss的补称为最小校正子集(MCSes)。由于MSS (MC-Ses)在许多领域都有应用,例如诊断、本体调试或公理定位,因此提出了几种MSS枚举算法。不幸的是,即使找到单个MSS通常也非常困难,因为它自然包含了反复解决满意度问题。此外,可能有多达指数级的mss,因此它们的完整枚举通常实际上是难以处理的。因此,算法倾向于在给定的时间限制内识别尽可能多的mss。在这项工作中,我们提出了一种新的MSS枚举算法,称为RIME。与现有算法相比,我们通过实验比较看到,RIME在执行满意度检查的次数上要节省得多。此外,RIME比现有工具快好几倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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