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Ranking the Possible Alternatives in Flexible Querying: An Extended Possibilistic Approach

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Computer and Information Sciences - ISCIS 2003 (ISCIS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2869))

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Abstract

An important facet of flexible querying and information retrieval is the ranking of the possible alternatives in the result. Adequate ranking information simplifies decision making and helps the user in finding faster the requested information. This paper deals with the construction of ranking methods, which are based on the use of extended possibilistic truth values. Extended possibilistic truth values are a flexible means to model query satisfaction, which additionally allow to deal with cases where some of the imposed query criteria are not applicable. Three alternative ranking approaches are presented and compared with each other based on their applicability in flexible database querying.

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de Tré, G., Matthé, T., Tourné, K., Callens, B. (2003). Ranking the Possible Alternatives in Flexible Querying: An Extended Possibilistic Approach. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_26

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  • DOI: https://doi.org/10.1007/978-3-540-39737-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20409-1

  • Online ISBN: 978-3-540-39737-3

  • eBook Packages: Springer Book Archive

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