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A General Framework for Reasoning on Inconsistency
A General Framework for Reasoning on Inconsistency
Knygos.lt klubas Knygos.lt nariams
74,37 €
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87,49 €
  • Išsiųsime per 12–18 d.d.
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 wel…
  • Leidėjas:
  • ISBN-10: 1461467497
  • ISBN-13: 9781461467496
  • Formatas: 15.6 x 23.4 x 0.3 cm, minkšti viršeliai
  • Kalba: Anglų

A General Framework for Reasoning on Inconsistency (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Autorius: Maria Vanina Martinez
  • Leidėjas:
  • ISBN-10: 1461467497
  • ISBN-13: 9781461467496
  • Formatas: 15.6 x 23.4 x 0.3 cm, minkšti viršeliai
  • Kalba: Anglų

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.

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