Agregación de índices de calidad basados en redes en el problema de localización de comercios minoristasUn enfoque desde el aprendizaje supervisado

  1. Virginia Ahedo 1
  2. José Ignacio Santos 1
  3. José Manuel Galán 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Revista:
Dirección y organización: Revista de dirección, organización y administración de empresas

ISSN: 1132-175X

Año de publicación: 2024

Número: 83

Páginas: 5-17

Tipo: Artículo

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Otras publicaciones en: Dirección y organización: Revista de dirección, organización y administración de empresas

Resumen

In retailing, the location problem is a fundamental strategic aspect. It is usually formalized as a multi-criteria optimization problem to choose the most appropriate spot. A relevant element in the selection is the adequacy of the commercial ecosystem in the vicinity of the location. To account for this criterion, there are different primary indices based on networks that formalize the quality of the available options with regard to the surrounding ecosystem. Previous research suggests that aggregating the different indices using a classifier can improve the quality of these metrics. In this paper, we compare different classifiers to assess their performance in that respect. The analysis has been performed in a context of transfer knowledge and information fusion using data from all the cities in Castile and Leon, Spain. Our results show that the random forest and generalized linear models obtain results significantly superior to other alternatives

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