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Continuando el desarrollo del modelo lineal sobre dos variables dummy difusas, encontramos expresiones para las descomposiciones clásicas en sumas de cuadrados y estudiamos sus distribuciones bajo hipótesis de normalidad. Damos una interpretación geométrica del ajuste cuando las variables numéricas explicativas se ven sometidas a una codificación difusa de tipo semilineal y contrastamos en estos casos la mejora de este nuevo modelo respecto de la regresión sobre las variables originales. Concluimos...
Planteamos el modelo lineal sobre variables dummy difusas asociadas a variables cuantitativas codificadas o cualitativas. En el modelo bicriterio aparecen las mismas dificultades conceptuales que se presentan en el caso multicriterio, pero su desarrollo resulta mucho más ágil y transparente. Resolvemos las ecuaciones normales, caracterizando el conjunto de soluciones y encontramos finalmente las funciones paramétricas estimables para este modelo.
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