Package index

All functions

ahp()

Canned routine for AHP

ahp.aggjudge()

Aggregate individual judgments

ahp.aggpref()

Aggregate priority weights

ahp.cr()

Calculates the consistency ratio of each decision-maker

ahp.error()

Matrix of the product between the pairwise comparison value and pj/pi

ahp.harker()

Replace inconsistent pairwise comparisons

ahp.indpref()

Computes priority weights of individual decision-makers

ahp.mat()

Generate AHP pairwise matrices from survey data

ahp.md()

Replace inconsistent pairwise comparisons with the maximum deviation method

ahp.missing()

Impute missing observations using the maximum deviation method.

ahp.pwerror()

Finds the pairwise comparisons with the maximum amount of inconsistency

ahp.ri()

Generate random indices

ahpsurvey

ahpsurvey: Analytic Hierarchy Process for Survey Data

city1

Dataframe of one decision-maker based on Saaty (2004)

city200

A dataframe of 200 simulated decision-makers based on Saaty (2004)