dst (version 1.8.0)

belplauHQQ: Compute belief, disbelief, unknown, plausibility, plausibility ratio based on commonality function

Description

Compute belief, disbelief, unknown, plausibility, plausibility ratio based on commonality function

Usage

belplauHQQ(qq, h = NULL)

Value

z A matrix of M rows by 5 columns is returned, where M is the number of hypothesis tested:

• Column 1: the degree of Belief bel;

• Column 2: the degree of Disbellief (belief in favor of the contrary hypothesis) disbel;

• Column 3: the degree of Epistemic uncertainty unc;

• Column 4: the degree of Plausibility plau;

• Column 5: the Plausibility ratio rplau.

Arguments

qq

Commonality function

h

= NULL Hypothesis to be evaluated

Author

Peiyuan Zhu

Examples

x <- bca(tt = matrix(c(0,1,1,1,1,0,1,1,1),nrow = 3, byrow = TRUE),
m = c(0.2,0.5, 0.3), cnames = c("a", "b", "c"), varnames = "x", idvar = 1)
qq <- commonality(x$tt,x$spec[,2])
belplauHQQ(qq,h=matrix(c(0,1,0), nrow=1, byrow=TRUE))