dlfm: The Captain's Problem. 'dlfm': Relation between variables...

In dst: Using the Theory of Belief Functions

The Captain's Problem. dlfm: Relation between variables Departure delay (D), Loading delay (L), Forecast of the weather (F), Maintenance delay (M)

Description

This dataset is the tt matrix establishing the relation between the four variables. Each event (loading = true, forecast = foul, Maintenance = true) adds one day of Departure Delay. The elements (d,l, f, m) of (D x L x F x M) satisfying the relation form a subset with a mass value of 1. To construct the tt matrix, we put the variables D,L,F,M side by side, as in a truth table representation. Each 4-tuple of the subset is described by a row of the matrix as a vector of zeros and ones.

Usage

dlfm

Format

An integer matrix with 10 rows and 12 columns.

[1,c(1,2)]

value = 0, not used

[1,3:12]

Identification numbers of the four variables. Column 3 to 6: variable 2; columns 7,8: variable 4; columns 9, 10: variable 5: columns 11,12: variable 6.

nospec

identification number of the specification

m

the value of the specification, a number between 0 and 1

3

1 if d3 is part of the specification, 0 otherwise

2

1 if d2 is part of the specification, 0 otherwise

1

1 if d1 is part of the specification, 0 otherwise

0

1 if d0 is part of the specification, 0 otherwise

true

1 if true is part of the specification, 0 otherwise

false

1 if false is part of the specification, 0 otherwise

foul

1 if foul is part of the specification, 0 otherwise

fair

1 if fair is part of the specification, 0 otherwise

Author(s)

Claude Boivin, Stat.ASSQ

Source

Almond, R.G. [1988] Fusion and Propagation in Graphical Belief Models. Computing Science and Statistics: Proceedings of the 20th Symposium on the Interface. Wegman, Edward J., Gantz, Donald T. and Miller, John J. (ed.). American Statistical Association, Alexandria, Virginia. pp 365–370.

dst documentation built on Nov. 16, 2023, 5:08 p.m.