belplauHQQ: Compute belief, disbelief, unknown, plausibility,...

In dst: Using the Theory of Belief Functions

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)

Arguments

qq	Commonality function
h	= NULL Hypothesis to be evaluated

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.

Author(s)

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))

dst documentation built on Sept. 11, 2024, 7:05 p.m.