belplauHLogsumexp: Calculate belief, disbelief, unknown, plausibility,...

In RAPLER/dst-1: Using the Theory of Belief Functions

Calculate belief, disbelief, unknown, plausibility, plausibility ratio with logsumexp

Description

Calculate belief, disbelief, unknown, plausibility, plausibility ratio with logsumexp

Usage

belplauHLogsumexp(MACC, W2, h)

Arguments

MACC	Vector of masses e.g. x$spec[,2]
W2	Description matrix e.g. x$tt
h	Hypotheses to be tested, same format as x$tt

Value

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(1,1,0,1,1,1), nrow = 2, byrow = TRUE), m = c(0.8, 0.2), cnames = c(1,2,3))
belplauH(MACC = x$spec[,2], W2 = x$tt, h = x$tt)
hyp <- matrix(c(0,1,0, 0,1,1), nrow = 2, byrow = TRUE)
rownames(hyp) <- nameRows(hyp)
belplauH(MACC = x$spec[,2], W2 = x$tt, h = hyp)

RAPLER/dst-1 documentation built on Oct. 15, 2024, 9:24 p.m.