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A Fuzzy-based Scoring Rule for Author Ranking - An Alternative of h-index
Marta Cardin, Marco Corazza, Stefania Funari, Silvio Giove
36 - 45
10.3233/978-1-60750-972-1-36
Frontiers in Artificial Intelligence and Applications
Volume 234: Neural Nets WIRN11
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.

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