Fuzzy sets implementation to quantify the potential for academic groups from the formation of scientific collaboration networks

Authors

  • Lucio Flores-Payán Universidad de Guadalajara
  • Ricardo Pérez-Mora Universidad de Guadalajara

DOI:

https://doi.org/10.33064/iycuaa2016682241

Keywords:

academic groups, networks, fuzzy logic, fuzzy sets, institutional networks, knowledge generation

Abstract

The establishment of networks of scientific collaboration of academic groups occurs like a strategic element for the generation and dissemination of knowledge. It is in this sense that the analysis and study of these networks and their results are presented in an appropriate way, however, it is a complex and multidimensional phenomenon. This is why new methods and tools are required. This paper explores the theory of fuzzy logic as an element of analysis that allows to accurately distinguish in quantifying the potential of academic groups in a multidimensional way. It makes evident the greater potential of academic bodies that make scientific collaboration networks.

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Author Biographies

Lucio Flores-Payán, Universidad de Guadalajara

Departamento de Políticas Públicas

Ricardo Pérez-Mora, Universidad de Guadalajara

Departamento de Políticas Públicas

References

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Published

2016-08-31

Issue

Section

Artículos de Investigación

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