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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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 198kB |
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) |
| Laboratory name: | |
| Statistics: | download |
| Deposited On: | 13 Nov 2019 10:45 |
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