Abstract
In this paper, we present a cooperative approach for avoiding empty answers to fuzzy relational queries. We propose a relaxation mechanism generating more tolerant queries. This mechanism rests on a transformation that consists in applying a tolerance relation to fuzzy predicates contained in the query. A particular tolerance relation, which can be conveniently modeled in terms of a parameterized proximity relation, is discussed. The modified fuzzy predicate is obtained by a simple arithmetic operation on fuzzy numbers. We show that this proximity relation can be defined in a relative or in an absolute way. In each case, the main features of the resulting weakening mechanism are investigated. We also show that the limits of the transformation, that guarantee that the weakened query is not semantically too far from the original one, can be handled in a non-empirical rigorous way without requiring any additional information from the user. Lastly, to illustrate our proposal an example is considered.
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Bosc, P., Hadjali, A., Pivert, O. (2005). Towards a Tolerance-Based Technique for Cooperative Answering of Fuzzy Queries Against Regular Databases. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE. OTM 2005. Lecture Notes in Computer Science, vol 3760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575771_18
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DOI: https://doi.org/10.1007/11575771_18
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