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Cooperative Answering of Fuzzy Queries

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Abstract

The majority of existing information systems deals with crisp data through crisp database systems. Traditional Database Management Systems (DBMS) have not taken into account imprecision so one can say there is some sort of lack of flexibility. The reason is that queries retrieve only elements which precisely match to the given Boolean query. That is, an element belongs to the result if the query is true for this element; otherwise, no answers are returned to the user. The aim of this paper is to present a cooperative approach to handling empty answers of fuzzy conjunctive queries by referring to the Formal Concept Analysis (FCA) theory and fuzzy logic. We present an architecture which combines FCA and databases. The processing of fuzzy queries allows detecting the minimal reasons of empty answers. We also use concept lattice in order to provide the user with the nearest answers in the case of a query failure.

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Authors and Affiliations

  1. Department of Computer Sciences, Faculty of Sciences of Tunis, University Campus, Tunis, 1060, Tunisia

    Narjes Hachani, Mohamed Ali Ben Hassine, Hanèene Chettaoui & Habib Ounelli

Authors
  1. Narjes Hachani
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  2. Mohamed Ali Ben Hassine
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  3. Hanèene Chettaoui
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  4. Habib Ounelli
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Corresponding author

Correspondence to Narjes Hachani.

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Hachani, N., Ben Hassine, M.A., Chettaoui, H. et al. Cooperative Answering of Fuzzy Queries. J. Comput. Sci. Technol. 24, 675–686 (2009). https://doi.org/10.1007/s11390-009-9252-1

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  • DOI: https://doi.org/10.1007/s11390-009-9252-1

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