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Soft Computing Applications for Group Decision-making and Consensus Modeling pp 275–293Cite as

Retrieval from Uncertain Data Bases

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 357))

Abstract

We investigate tools that can enrich the process of querying databases. We show how to include soft conditions with the use of fuzzy sets. We describe some techniques for aggregating the satisfactions of the individual conditions based on the inclusion of importance and the use of the OWA operator. We discuss a method for aggregating the individual satisfactions that can model a lexicographic relation between the individual requirements. We look at querying databases in which the information in the database can have some probabilistic uncertainty.

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Author information

Authors and Affiliations

  1. Machine Intelligence Institute, Iona College, New Rochelle, NY, 10801, USA

    Ronald R. Yager

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  1. Ronald R. Yager
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Correspondence to Ronald R. Yager .

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Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Yager, R.R. (2018). Retrieval from Uncertain Data Bases. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-60207-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60206-6

  • Online ISBN: 978-3-319-60207-3

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