Analytic Hierarchy Process for Survey Data
Aggregate individual judgments
Aggregate priority weights
Calculates the consistency ratio of each decision-maker
Matrix of the product between the pairwise comparison value and pj/pi
Replace inconsistent pairwise comparisons
Computes priority weights of individual decision-makers
Generate AHP pairwise matrices from survey data
Impute missing observations using the method in if(!exists(".Rdpack.cu...
Finds the pairwise comparisons with the maximum amount of inconsistenc...
Canned routine for AHP
Generate random indices
AHP Survey package
The Analytic Hierarchy Process is a versatile multi-criteria decision-making tool introduced by Saaty (1987) <doi:10.1016/0270-0255(87)90473-8> that allows decision-makers to weigh attributes and evaluate alternatives presented to them. This package provides a consistent methodology for researchers to reformat data and run analytic hierarchy process in R on data that are formatted using the survey data entry mode. It is optimized for performing the analytic hierarchy process with many decision-makers, and provides tools and options for researchers to aggregate individual preferences and test multiple options. It also allows researchers to quantify, visualize and correct for inconsistency in the decision-maker's comparisons.