Conference paper Open Access
Perakakis, Pandelis; Taylor, Michael; Buela-Casal, Gualberto; Checa, Purificacion
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Internationality, fuzzy logic, neuro-fuzy systems</subfield> </datafield> <controlfield tag="005">20191114191031.0</controlfield> <controlfield tag="001">45541</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">13-16 September 2005</subfield> <subfield code="g">CEDI</subfield> <subfield code="a">Congreso Español de Informatica</subfield> <subfield code="c">Granada, Spain</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Autonoma University of Madrid</subfield> <subfield code="a">Taylor, Michael</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of Granada</subfield> <subfield code="a">Buela-Casal, Gualberto</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of Granada</subfield> <subfield code="a">Checa, Purificacion</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">163056</subfield> <subfield code="z">md5:a058f91d71670360b6a1eecd999da321</subfield> <subfield code="u">https://zenodo.org/record/45541/files/perakakis_NeuroFuzzy_System_2005.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="y">Conference website</subfield> <subfield code="u">http://cedi2005.ugr.es/2005/index.php</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2005-09-13</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:zenodo.org:45541</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">University of Granada</subfield> <subfield code="a">Perakakis, Pandelis</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">A Neuro-Fuzzy System to Calculate a Journal Internationality Index</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">http://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Internationality as a concept is being applied ambiguously and erroneously, particularly in the world of academic journal publication where it is often used as a quality indicator. Although different qualitative criteria have been used by scientometrists in order to attempt a measure of internationality in various contexts, it is now clear that the literal definition of internationality is a minimal one while other proposed measures based on individual criteria fail to provide a complete and accurate assessment. As such, internationality remains to be defined2.</p> <p>Here, we present a holistic approach to the problem based on fuzzy logic. We surveyed, critically-assessed and pruned the set of internationality criteria in the context of academic publishing, selecting those that are semantically precise and amenable to <em>quantitative </em>measure. We have tested the ability of each criterion to measure internationality by applying them to four thematically-connected journals from the field of Health and Clinical Psychology, using descriptive</p> <p>statistics and the Gini Coefficient. The results of this case study revealed that, in the absence of a method of numerically weighting the criteria, any measurement of internationality remains ambiguous and incorrect.</p> <p>We propose that internationality is best represented by a neuro-fuzzy system of fuzzy sets of the weighted criteria linked by fuzzy rules in a multi-layer perceptron, whose output defuzzification gives a new measure &ndash; a <em>Journal Internationality Index </em>akin to the Impact Factor for citations. Viewing internationality in this way as an approximated fuzzy function means a quantitative measure can be found while keeping intact its semantic rule origins and meaning.&nbsp;</p></subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.45541</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
All versions | This version | |
---|---|---|
Views | 59 | 59 |
Downloads | 12 | 13 |
Data volume | 2.0 MB | 2.1 MB |
Unique views | 59 | 59 |
Unique downloads | 11 | 12 |