Proposition of a semi-automatic possibilistic information scoring process

DOI

10.2991/eusflat.2011.20How to use a DOI?

Keywords

information scoring, possibility theory, aggregation operators, fusion

Abstract

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (EUSFLAT-11)
PB  - Atlantis Press
SP  - 949
EP  - 956
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.20
DO  - 10.2991/eusflat.2011.20
ID  - Lesot2011/08
ER  -