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A measure of perceived performance to assess resource allocation

Autor
Sayeras, J.; Agell, N.; Rovira, X.; Sanchez, M.; Dawson, J.
Tipus d'activitat
Article en revista
Revista
Soft computing
Data de publicació
2016-08-01
Volum
20
Número
8
Pàgina inicial
3201
Pàgina final
3214
DOI
https://doi.org/10.1007/s00500-015-1696-3 Obrir en finestra nova
Projecte finançador
APRENDIZAJE AUTOMATICO DE CAPACIDADES SENSORIALES MEDIANTE MAQUINAS DE SOPORTE VECTORIAL
Repositori
http://hdl.handle.net/2117/102418 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007%2Fs00500-015-1696-3 Obrir en finestra nova
Resum
Performance measurement is a key issue when a company is designing new strategies to improve resource allocation. This paper offers a new methodology inspired by classic importance-performance analysis (IPA) that provides a global index of importance versus performance for firms. This index compares two rankings of the same set of features regarding importance and performance, taking into account underperforming features. The marginal contribution of each feature to the proposed global index def...
Citació
Sayeras, J., Agell, N., Rovira, X., Sanchez, M., Dawson, J. A measure of perceived performance to assess resource allocation. "Soft computing", 1 Agost 2016, vol. 20, núm. 8, p. 3201-3214.
Paraules clau
Fuzzy operator, Performance evaluation, Reasoning under uncertainty, Similarity index
Grup de recerca
GREC - Grup de Recerca en Enginyeria del Coneixement
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

  • Sayeras, Josep M.  (autor)
  • Agell, Nuria  (autor)
  • Rovira Llobera, Xari  (autor)
  • Sanchez Soler, Monica  (autor)
  • Dawson, John A.  (autor)

Arxius