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Organization based access control
- A. A. E. Kalam, S. Benferhat, G. Trouessin
- Computer ScienceProceedings POLICY . IEEE 4th International…
- 4 June 2003
A new model is suggested that provides solutions to specify contextual security policies that are not restricted to static permissions but also include contextual rules related to permissions, prohibitions, obligations and recommendations in the health care domain.
Inconsistency Management and Prioritized Syntax-Based Entailment
This new approach leads to a nonmonotonic inference which satisfies the "rationality" property while solving the problem of blocking of property inheritance and differs from and improves previous equivalent approaches such as Gardenfors and Makinson's expectation-based inference, Pearl's System Z and possibilistic logic.
Naive Bayes vs decision trees in intrusion detection systems
It is shown that even if having a simple structure, naive Bayes provide very competitive results, and the good performance of Bayes nets with respect to existing best results performed on KDD'99.
Qualitative choice logic
Argumentative inference in uncertain and inconsistent knowledge bases
Fusion: General concepts and characteristics
This paper aims at presenting the different aspects of information fusion in different domains, such as databases, regulations, preferences, sensor fusion, etc., at a quite general level.
Some Syntactic Approaches to the Handling of Inconsistent Knowledge Bases: A Comparative Study Part 1: The Flat Case
This paper presents and discusses several methods for reasoning from inconsistent knowledge bases. A so-called argued consequence relation, taking into account the existence of consistent arguments…
Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
- Ilyes Jenhani, N. B. Amor, Zied Elouedi, S. Benferhat, K. Mellouli
- Computer ScienceECSQARU
- 31 October 2007
A new measure so-called Information Affinity is proposed to overcome the limits of the existing ones and is based on a classical informative distance, e.g. Manhattan distance, which evaluates the difference between two normalized possibility distributions.
Nonmonotonic Reasoning, Conditional Objects and Possibility Theory
Possibilistic Merging and Distance-Based Fusion of Propositional Information
- S. Benferhat, D. Dubois, S. Kaci, H. Prade
- Computer ScienceAnnals of Mathematics and Artificial Intelligence
- 21 March 2002
This paper presents a general approach for fusing prioritized bases, both semantically and syntactically, when priorities are represented in the possibilistic logic framework and shows that the approaches which have been recently proposed for merging propositional bases can be embedded in this setting.