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Communication Dans Un Congrès Année : 2018

How Potential BLFs Can Help to Decide under Incomplete Knowledge

Résumé

In a Bipolar Leveled Framework (BLF) [7], the comparison of two candidates is done on the basis of the decision principles and inhibitions which are validated given the available knowledge-bases associated with each candidate. This article defines a refinement of the rules for comparing candidates by using the potential-BLFs which can be built according to what could additionally be learned about the candidates. We also propose a strategy for selecting the knowledge to acquire in order to better discriminate between candidates.
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Dates et versions

hal-02319705 , version 1 (18-10-2019)

Identifiants

Citer

Florence Dupin de Saint-Cyr, Romain Guillaume. How Potential BLFs Can Help to Decide under Incomplete Knowledge. 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Jun 2018, Cadiz, Spain. pp.86-98, ⟨10.1007/978-3-319-91479-4_8⟩. ⟨hal-02319705⟩
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