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How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail

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Fifty Years of Fuzzy Logic and its Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 326))

Abstract

Telling the user that there is no result for his/her query is very poorly informative and corresponds to the kind of situation cooperative systems try to avoid. Cooperative systems should rather explain the reason(s) of the failure, materialized by Minimal Failing Subqueries (MFS), and build alternative succeeding queries, called maXimal Succeeding Subqueries (XSS), that are as close as possible to the original query. In the particular context of fuzzy querying, we propose an efficient unified approach to the computation of gradual MFSs and XSSs that relies on a fuzzy-cardinality-based summary of the relevant part of the database.

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Authors and Affiliations

  1. University of Rennes 1/Irisa, 22305, Lannion, France

    Olivier Pivert & Grégory Smits

Authors
  1. Olivier Pivert
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  2. Grégory Smits
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Correspondence to Olivier Pivert .

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Editors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, Texas, USA

    Dan E. Tamir

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Naphtali D. Rishe

  3. School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, Florida, USA

    Abraham Kandel

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Pivert, O., Smits, G. (2015). How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-19683-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19682-4

  • Online ISBN: 978-3-319-19683-1

  • eBook Packages: EngineeringEngineering (R0)

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