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A Relational Algebra for Generalized Fuzzy Bipolar Conditions

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Flexible Approaches in Data, Information and Knowledge Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 497))

Abstract

Flexible querying of regular databases consists in expressing user’s preferences (fuzzy conditions) inside queries instead of Boolean requirements. Fuzzy bipolar conditions are particular cases of fuzzy conditions which are made of two components, a mandatory fuzzy condition and an optional fuzzy condition. They define two different types of complex preferences which can be either of a conjunctive nature or of a disjunctive nature (both of them being interpreted in a hierarchical way). The first case leads to define fuzzy bipolar conditions of type and if possible, the second case leads to define fuzzy bipolar conditions of type or else. This chapter shows that a general form of fuzzy bipolar conditions having a hierarchical interpretation can be considered since these two forms are compatible. As a consequence, fuzzy bipolar conditions of both types can be used together in a single bipolar query and all the algebraic operators are extended to this generalization. The particular case (non algebraic) of the use of linguistic quantifiers is also studied.

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Correspondence to Ludovic Liétard .

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Liétard, L., Rocacher, D., Tamani, N. (2014). A Relational Algebra for Generalized Fuzzy Bipolar Conditions. In: Pivert, O., Zadrożny, S. (eds) Flexible Approaches in Data, Information and Knowledge Management. Studies in Computational Intelligence, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-319-00954-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-00954-4_3

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