ahpsurvey-package: ahpsurvey: Analytic Hierarchy Process for Survey Data

In ahpsurvey: Analytic Hierarchy Process for Survey Data

ahpsurvey: Analytic Hierarchy Process for Survey Data

Description

The Analytic Hierarchy Process is a versatile multi-criteria decision-making tool introduced by Saaty (1987) \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

Maintainer: Frankie Cho [e-mail] [copyright holder]

Authors:

• Frankie Cho [e-mail] [copyright holder]

See Also

Useful links:

• https://frankiecho.github.io/ahpsurvey/

• https://github.com/frankiecho/ahpsurvey

• Report bugs at https://github.com/frankiecho/ahpsurvey/issues

ahpsurvey documentation built on July 16, 2026, 9:06 a.m.