PSIM: Preference Selection Index Method (PSIM)

The Preference Selection Index Method was created in (2010) and provides an innovative approach to determining the relative importance of criteria without pairwise comparisons, unlike the Analytic Hierarchy Process. The Preference Selection Index Method uses statistical methods to calculate the criteria weights and reflects their relative importance in the final decision-making process, offering an objective and non-subjective solution. This method is beneficial in multi-criteria decision analysis. The 'PSIM' package provides a practical and accessible tool for implementing the Preference Selection Index Method in R. It calculates the weights of criteria and makes the method available to researchers, analysts, and professionals without the need to develop complex calculations manually. More details about the Preference Selection Index Method can be found in Maniya K. and Bhatt M. G.(2010) <doi:10.1016/j.matdes.2009.11.020>.

Version:	0.1.0
Imports:	dplyr, matrixStats, magrittr, tidyverse
Suggests:	rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2024-09-19
DOI:	10.32614/CRAN.package.PSIM
Author:	Luana Oliveira [aut, cre], Marcos Santos [ctb]
Maintainer:	Luana Oliveira <luana.azevedo.oliveira.2022 at gmail.com>
License:	GPL-3
URL:	https://github.com/luana1909/PSIM
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	PSIM results

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