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Forgetting-Based Inconsistency Measure

Besnard, Philippe Forgetting-Based Inconsistency Measure. (2016) In: International Conference on Scalable Uncertainty Management (SUM 2016), 21 September 2016 - 23 September 2016 (Nice, France).

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Official URL: https://doi.org/10.1007/978-3-319-45856-4_23

Abstract

We propose to apply a variant of forgetting, a simple method to restore consistency, in order to get a new inconsistency measure from the following intuitive idea: How much effort is needed to restore consistency of a knowledge base is presumably indicative of how inconsistent the knowledge base is. We discuss properties of the inconsistency measure obtained, in particular in the face of well-known postulates for inconsistency measures. We also mention in what sense this new measure does not fall into the dichotomy of inconsistency measures proposed in the literature: alphabet-based approaches vs formula-based approaches.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 9858 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-45855-7 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-45856-4_23
HAL Id:hal-02365628
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:13 Nov 2019 10:45

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