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A fuzzy-based scoring rule for author ranking


Author Info

  • Marta Cardin

    (Department of Economics, Ca’ Foscari University of Venice.)

  • Marco Corazza

    (Department of Economics, Ca’ Foscari University of Venice; Advanced School of Economics in Venice.)

  • Stefania Funari

    (Department of Management, Ca’ Foscari University of Venice.)

  • Silvio Giove

    (Department of Economics, Ca’ Foscari University of Venice.)


The measurement of the quality of research has reached nowadays an increasing interest not only for scientific reasons but also for the critical problem of researchers' ranking, due to the lack of grant assignments. The most commonly used approach is based on the so-called $h$-index, even if the current literature debated a lot about its pros and cons. This paper, after a brief review of the $h$-index and of alternative models, focuses on the characterization and the implementation of a modified scoring rule approach by means of a fuzzy inference system a là Sugeno.

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Bibliographic Info

Paper provided by Department of Economics, University of Venice "Ca' Foscari" in its series Working Papers with number 2011_11.

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Length: 13
Date of creation: 2011
Date of revision:
Handle: RePEc:ven:wpaper:2011_11

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Related research

Keywords: Research evaluation; bibliometrics; author ranking; $h$-index; scoring rules; fuzzy inference system.;

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  1. Denis Bouyssou & Thierry Marchant, 2011. "Ranking scientists and departments in a consistent manner," Post-Print hal-00606931, HAL.
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