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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.
From the reviews:
"The aim of this book, consisting of six chapters, is to develop a unified framework for reasoning on inconsistency which allows end-users to apply their domain knowledge and subsequently tailor it to their needs. In particular, the framework shall be applicable to any Tarskian logic the end-user employs." (Jürgen Landes, zbMATH, Vol. 1276, 2014)
"The aim of this book, consisting of six chapters, is to develop a unified framework for reasoning on inconsistency which allows end-users to apply their domain knowledge and subsequently tailor it to their needs. In particular, the framework shall be applicable to any Tarskian logic the end-user employs." (Jürgen Landes, zbMATH, Vol. 1276, 2014)