normalize.sum: Title

In avilesd/productConfig: Tools to analyze behavioral patterns from Product Configurators

Description

This function is indifferent as to where it is a cost_ids or not, since the same formula works for both. It does have a limitation, i.e. if on a single attribute, there are simultaneously negative and positive values, in details?

Usage

normalize.sum(aMatrix)

Arguments

aMatrix
aMatrix	a numeric (decision) matrix - if matrix has only one row, then all values will be normalized to 1 even if the initial value is 0.

Details

Note: this function has one important limitation, if within a same attribute there are negative and positive values, the function will likely produce a NaN.

This functions uses the same equation to normalize benefit and cost type attributes. It returns values between 0 and 1, with the only limitation that when an attribute has both negative and positive values, it may return a NaN.

Value

a normalized matrix

References

[1]Lotfi, F. H., and Fallahnejad, R. (2010). Imprecise Shannons entropy and multi attribute decision making. Entropy, 12(1), 53-62.

[2] Fan, Z. P. (1996). Complicated multiple attribute decision making: theory and applications (Doctoral dissertation, Ph. D. Dissertation, North-eastern University, Shenyang, PRC).

[2] Hwang, C. L., & Yoon, K. (2012). Multiple attribute decision making: methods and applications a state-of-the-art survey (Vol. 186). Springer Science & Business Media.

Examples

Normalizes a function according to the entropy method

This function helps realize the first step in \code{\link{weight.entropy}}
within the entropy method for calculating weights, as shown for example by
[1] and [2].

avilesd/productConfig documentation built on May 11, 2019, 4:08 p.m.