Calculates the consistency ratio of each decision-maker
The ahp.cr function calculates the consistency ratio of each decision-maker, defined by the following equation:
CR = (λ-n)/((n-1)(RI))
Where λ is the maximum eigenvalue of the pairwise comparison matrix, n is the number of attributes, and RI is the random index. Following Saaty and Tran (2007), the RI is a function of n and is the consistency ratio of randomly generated pairwise comparison matrices.
ahp.cr(ahpmat, atts, ri = NULL)
ahpmat |
A list of pairwise comparison matrices of each decision maker generated by |
atts |
a list of attributes in the correct order. The RI is asymptotic as it approaches n=15, thus it is set to be equal to 1.6 if the number of attributes exceeds 16. |
ri |
A user-supplied random index value, probably user generated using |
A list of consistency ratios of each decision-maker.
Frankie Cho
Saaty TL, Tran LT (2007). “On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process.” Mathematical and Computer Modelling, 46(7), 962 - 975. ISSN 0895-7177, Decision Making with the Analytic Hierarchy Process and the Analytic Network Process, http://www.sciencedirect.com/science/article/pii/S0895717707000787.
data(city200)
atts <- c('cult', 'fam', 'house', 'jobs', 'trans')
cityahp <- ahp.mat(df = city200, atts = atts, negconvert = TRUE)
ahp.cr(cityahp, atts)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.