ahpgaussian {AHPGaussian}

New Multicriteria Method: AHPGaussian

Description

Analytic Hierarchy Process (AHP) is a method allowing individuals or groups to make complex decisions. The core concept of AHP is that alternatives are always compared pairwise (and not, say, by giving a score, or sorting alternatives). AHP is used in many fields, from finance to criminal investigation.

The AHP Gaussian is a modification of the AHP that uses a Gaussian function to model the pairwise comparisons between criteria and alternatives. In the traditional AHP, pairwise comparisons are made using numerical values on a scale from 1 to 9, which can be subjective and lead to inconsistencies. The AHP Gaussian addresses this issue by using a continuous function that allows for more precise and consistent comparisons.

The function is defined by a mean value and a standard deviation, which can be estimated from the pairwise comparison data. The resulting weights for the criteria and alternatives are obtained by solving a system of linear equations. The Gaussian AHP has been shown to be effective in various applications, including military decision-making and environmental management.

Usage

ahpgaussian(x)

Arguments

x

A data.frame object.

Value

Values are returned from the analysis with results and graphical output

Author(s)

Cid Edson Povoas ([e-mail])

References

dos Santos, M, Costa, I. P. de A., & Gomes, C. F. S. (2021) Multicriteria decision-making in the selection of warships: a new approach to the ahp method. International Journal of the Analytic Hierarchy Process, 13(1). <doi:10.13033/ijahp.v13i1.833>

Examples

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## Example 1
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ahpgaussian(warships)