Abstract
In many real life scenarios the use of standard query languages may be ineffective due to the difficulty to express the real user requirements (information needs). The use of fuzzy logic helps to fight this ineffectiveness making it possible to model and properly process linguistic terms in queries. This way a user may express his or her requirements in a more intuitive and flexible way. Recently another dimension of such a flexibility attracted the attention of many researchers. Namely, it is now widely advocated that by specifying his or her requirements the user is usually having in mind both negative and positive preferences. Thus, a combination of an intuitive appeal of natural language terms in queries with a bipolar nature of preferences seems to be a next promising step in enhancing the flexibility of queries.We look at various ways of how to understand bipolarity in database querying, propose fuzzy counterparts of some crisp approaches and study their properties.
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Zadrożny, S., Kacprzyk, J. (2009). Bipolar Queries: A Way to Enhance the Flexibility of Database Queries. In: Ras, Z.W., Dardzinska, A. (eds) Advances in Data Management. Studies in Computational Intelligence, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02190-9_3
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DOI: https://doi.org/10.1007/978-3-642-02190-9_3
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