3 research outputs found

    Erratum to: Database preference queries - a possibilistic logic approach with symbolic priorities.

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    International audienceThis note corrects a claim made in the above-mentioned paper about the exact representation of a conditional preference network by means of a possibilistic logic base with partially ordered symbolic weights. We provide a counter-example that shows that the possibilistic logic representation is indeed not always exact. This is the basis of a short discussion on the difficulty of obtaining an exact representation

    Database Preference Queries--A Possibilistic Logic Approach with Symbolic Priorities

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    Mathematics Subject Classifications (2010): 68P15; 03B52An Erratum to this article was published on 27 February 2015, available at http://dx.doi.org/10.1007/s10472-014-9446-2.International audienceThe paper presents a new approach to database preference queries, where preferences are represented in a possibilistic logic manner, using symbolic weights. The symbolic weights may be processed without assessing their precise value, which leaves the freedom for the user to not specify any priority among the preferences. The user may also enforce a (partial) ordering between them, if necessary. The approach can be related to the processing of fuzzy queries whose components are conditionally weighted in terms of importance. In this paper, importance levels are symbolically processed, and refinements of both Pareto ordering and minimum ordering are used. The representational power of the proposed setting is stressed, while the approach is compared with database Best operator-like methods and with the CP-net approach developed in artificial intelligence. The paper also provides a structured and rather broad overview of the different lines of research in the literature dealing with the handling of preferences in database queries

    Using rules of thumb to repair inconsistent knowledge

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