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Bipolar Queries: Some Inspirations from Intention and Preference Modeling

  • Janusz Kacprzyk
  • Sławomir Zadrożny
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 271)

Abstract

The concept of a bipolar query, meant as a database query that involves both mandatory and optional conditions is discussed from the point of view of flexible database querying and modeling of more sophisticated user’s intentions and preferences. Aggregation of the matching degrees against the negative and positive conditions to derive an overall matching degree is considered taking as the point of departure the Lacroix and Lavency approach [25] for bipolar queries. It is shown that the use of a multiple valued logic based formalism for the representation of positive and negative desires in the context of intention modeling proposed by Casali, Godo and Sierra [8, 7] can be employed to extend the approach to bipolar queries. Both the approaches have roots in the seminal Dubois and Prade’s view of bipolarity in the possibilistic setting (cf. for a comprehensive review Dubois and Prade [17]).

Keywords

Fuzzy Logic Multiagent System Linguistic Term Aggregation Operator Logical Connective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  2. 2.PIAP – Industrial Institute of Automation and MeasurementsWarsawPoland
  3. 3.Warsaw School of Information TechnologyWarsawPoland

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