A linear additive model for ranking road alternatives and for revealing the relative importance of the variables that describe each of them

  • Paz Díaz Castillo BASF Chile S.A.
Palabras clave: road alternatives, ranking, model, relative weights, linear programming, selection

Resumen

The selection of the best alternative within a plausible set has traditionally been a controversial issue in road engineering, particularly cause of the cryptic trait of the relative weights of the variables that explain each of them. Given this common situation, this paper proposes a simple and intuitive model through a linear programming, which not only ranks the alternatives according to their final attractive; but also reveals the relative importance of each variable that describes them. One advantage of this method is that it works regardless of the measurement units of the variables, no matter how different they are. Another advantage is that each alternative gets a number that represents its convenience as the final result.

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