Proposition of a semi-automatic possibilistic information scoring process
- Marie Jeanne Lesot, Thomas Delavallade, Frédéric Pichon, Herman Akdag, Bernadette Bouchon-Meunier, Philippe Capet
- Corresponding Author
- Marie Jeanne Lesot
Available Online August 2011.
- https://doi.org/10.2991/eusflat.2011.20How to use a DOI?
- information scoring, possibility theory, aggregation operators, fusion
- This paper proposes a semi-automatic three step information scoring process that starts from constructs representing structured pieces of information and a user query. It first identifies the constructs relevant to answer the user question, based on their similarity to the query. The relevant items are then individually scored, taking into account both the reliability of their source and the certainty the latter expresses through its choice of linguistic terms. Lastly, these individual scores are fused, modeling a corroboration process that takes into account information obsolescence and source relations. This procedure is performed in the framework of possibility theory, relying on the definition of the appropriate aggregation operators.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Marie Jeanne Lesot AU - Thomas Delavallade AU - Frédéric Pichon AU - Herman Akdag AU - Bernadette Bouchon-Meunier AU - Philippe Capet PY - 2011/08 DA - 2011/08 TI - Proposition of a semi-automatic possibilistic information scoring process BT - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 949 EP - 956 UR - https://doi.org/10.2991/eusflat.2011.20 DO - https://doi.org/10.2991/eusflat.2011.20 ID - Lesot2011/08 ER -