Work

Evaluation of selected Cardinality Pattern functions and linguistic variables applied to authors dominant discipline classification

Year: 2023

Type: conference-paper

Abstract: The ongoing study aimed to investigate the impact of utilizing intelligent counting algorithms to determine the dominant discipline of authors.This paper addresses the issue of ambiguously assigning disciplines to authors, which has become a prevalent problem.The methodology section outlines the approach employed in this study, including the utilization of intelligent counting, cardinality pattern functions, and evaluation metrics.In the results section, we present the findings of the study, demonstrating that by employing specific Cardinality pattern functions and linguistic variables, we were able to achieve a return that surpassed the number of disciplines unambiguously determined for authors by up to 30%, surpassing the results obtained using well-known methods.

Source: Annals of Computer Science and Information Systems

DOI: 10.15439/2023f2798

Authors: Lukasz Szymula, Krzysztof Dyczkowski

Institutions: University of Colorado Boulder, Adam Mickiewicz University in Poznań

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4387524541

FWCI:

Cites: 27

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Related to: 10