A Fuzzy-Based Scoring Rule for Author Ranking

15 Pages Posted: 24 Sep 2011

See all articles by Marta Cardin

Marta Cardin

Ca Foscari University of Venice - Dipartimento di Economia

Marco Corazza

Ca Foscari University of Venice - Dipartimento di Economia

Stefania Funari

Ca Foscari University of Venice - Department of Management

Silvio Giove

Ca Foscari University of Venice - Dipartimento di Economia

Date Written: August 1, 2011

Abstract

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.

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

JEL Classification: C02, I23, Z19

Suggested Citation

Cardin, Marta and Corazza, Marco and Funari, Stefania and Giove, Silvio, A Fuzzy-Based Scoring Rule for Author Ranking (August 1, 2011). University Ca' Foscari of Venice, Dept. of Economics Research Paper Series No. 11/WP/2011. Available at SSRN: https://ssrn.com/abstract=1932135 or http://dx.doi.org/10.2139/ssrn.1932135

Marta Cardin

Ca Foscari University of Venice - Dipartimento di Economia ( email )

Cannaregio 873
Venice, 30121
Italy

Marco Corazza

Ca Foscari University of Venice - Dipartimento di Economia ( email )

Cannaregio 873
Venice, 30121
Italy

Stefania Funari

Ca Foscari University of Venice - Department of Management ( email )

San Giobbe, Cannaregio 873
Venice, 30121
Italy

Silvio Giove (Contact Author)

Ca Foscari University of Venice - Dipartimento di Economia ( email )

Cannaregio 873
Venice, 30121
Italy

Register to save articles to
your library

Register

Paper statistics

Downloads
43
Abstract Views
501
PlumX Metrics