| 期刊全称 | A General Framework for Reasoning On Inconsistency | | 影响因子2023 | Maria Vanina Martinez,Cristian Molinaro,Leila Amgo | | 视频video | | | 发行地址 | Includes supplementary material: | | 学科分类 | SpringerBriefs in Computer Science | | 图书封面 |  | | 影响因子 | This SpringerBrief proposes a general framework for reasoning about inconsistency in a wide variety of logics, including inconsistency resolution methods that have not yet been studied. The proposed framework allows users to specify preferences on how to resolve inconsistency when there are multiple ways to do so. This empowers users to resolve inconsistency in data leveraging both their detailed knowledge of the data as well as their application needs. The brief shows that the framework is well-suited to handle inconsistency in several logics, and provides algorithms to compute preferred options. Finally, the brief shows that the framework not only captures several existing works, but also supports reasoning about inconsistency in several logics for which no such methods exist today. | | Pindex | Book 2013 |
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发表于 2025-3-21 18:34:38
