ci_bod_dir function

Directional Benefit of the Doubt (D-BoD) model

Directional Benefit of the Doubt (D-BoD) model enhance non-compensatory property by introducing directional penalties in a standard BoD model in order to consider the preference structure among simple indicators.

ci_bod_dir(x, indic_col, dir)

Arguments

• x: A data.frame containing score of the simple indicators.
• indic_col: Simple indicators column number.
• dir: Main direction. For example you can set the average rates of substitution.

Returns

An object of class "CI". This is a list containing the following elements: - ci_bod_dir_est: Composite indicator estimated values.

• ci_method: Method used; for this function ci_method="bod_dir".

References

Fusco E. (2015) "Enhancing non compensatory composite indicators: A directional proposal", European Journal of Operational Research, 242(2), 620-630.

Author(s)

Vidoli F., Fusco E.

See Also

ci_bod, ci_rbod

Examples

i1 <- seq(0.3, 0.5, len = 100) - rnorm (100, 0.2, 0.03)
i2 <- seq(0.3, 1, len = 100)   - rnorm (100, 0.2, 0.03)
Indic = data.frame(i1, i2)
CI = ci_bod_dir(Indic,dir=c(1,1))

data(EU_NUTS1)
data_norm = normalise_ci(EU_NUTS1,c(2:3),polarity = c("POS","POS"), method=2)
CI = ci_bod_dir(data_norm$ci_norm,c(1:2),dir=c(1,0.5))