M. C. Sánchez Gil, M. Arana Jiménez, S. Lozano Segura, A. Younsesi

Este trabajo estudia la evaluación de la eficiencia de las Unidades de Toma de Decisiones (DMUs) cuando sus entradas y salidas son conjuntos borrosos. Se presenta una derivación axiomática del conjunto de posibilidades de producción difuso y se formula una medida de gráfico de Russell mejorada difusa utilizando un enfoque aritmético difuso. El enfoque propuesto utiliza conjuntos borrosos poligonales y órdenes parciales borrosos LU y proporciona medidas de eficiencia nítidas (y clasificación de eficiencia asociada), así como objetivos de eficiencia borrosos. El enfoque propuesto se ha comparado con otros enfoques DEA difusos en diferentes conjuntos de datos de la literatura y los resultados muestran que tiene más poder discriminante y más flexibilidad para modelar los datos de entrada y salida.

Keywords: Efficiency; fuzzy data; fuzzy production possibility set; fuzzy enhanced Russell graph measure; fuzzy efficient targets

Scheduled

Data Envelopment Analysis I
June 10, 2022  10:10 AM
Conference hall


Other papers in the same session


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