| 期刊全稱 | A General Framework for Reasoning On Inconsistency | | 影響因子2023 | Maria Vanina Martinez,Cristian Molinaro,Leila Amgo | | 視頻video | http://file.papertrans.cn/141/140846/140846.mp4 | | 發(fā)行地址 | Includes supplementary material: | | 學(xué)科分類 | SpringerBriefs in Computer Science | | 圖書封面 |  | | 影響因子 | 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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