A Flexible Bipolar Querying Approach with Imprecise Data and Guaranteed Results

Abstract : In this paper, we propose an approach to query a database when the user preferences are bipolar (i.e., express both constraints and wishes about the desired result) and the data stored in the database are imprecise. Results are then completely ordered with respect to these bipolar preferences, giving priority to constraints over wishes. Additionally, we propose a treatment that allows us to guarantee that any query will return a result, even if no element satisfies all constraints specified by the user. Such a treatment may be useful when user's constraints are unrealistic (i.e., cannot be all satisfied simultaneously) and when the user desires a guaranteed result. The approach is illustrated on a real-world problem concerning the selection of optimal packaging for fresh fruits and vegetables.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00611940
Contributor : Patrice Buche <>
Submitted on : Wednesday, July 27, 2011 - 5:39:34 PM
Last modification on : Tuesday, November 19, 2019 - 1:19:04 AM

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Sébastien Destercke, Patrice Buche, Valérie Guillard. A Flexible Bipolar Querying Approach with Imprecise Data and Guaranteed Results. Fuzzy Sets and Systems, Elsevier, 2011, 169 (1), pp.51-54. ⟨10.1016/j.fss.2010.12.014⟩. ⟨lirmm-00611940⟩

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