norm.fun: The normalized criteria weight
In iaga/ahpsensitivity: Sensitivity analysis tools for Multicriteria Decision Making methods

This function allows you to obtain the normalized criteria weight (normalized geometric mean) for one user

1	norm.fun(x)

`x`	Vector of criteria weight

A vector

For each component r of the vector the normalized weight is obtained by

\bar{w}_r = \frac{w_r}{∑_{q=1}^n w_q}

where n is the total number of criteria

1 2	w <- c(.7,.2,.3) norm.fun(w)

iaga/ahpsensitivity documentation built on Dec. 20, 2021, 5:57 p.m.

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