dlfm
: Relation between variables Departure delay (D), Loading delay (L), Forecast of the weather (F), Maintenance delay (M)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.
dlfm
An integer matrix with 10 rows and 12 columns.
value = 0, not used
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.
identification number of the specification
the value of the specification, a number between 0 and 1
1 if d3 is part of the specification, 0 otherwise
1 if d2 is part of the specification, 0 otherwise
1 if d1 is part of the specification, 0 otherwise
1 if d0 is part of the specification, 0 otherwise
1 if true is part of the specification, 0 otherwise
1 if false is part of the specification, 0 otherwise
1 if foul is part of the specification, 0 otherwise
1 if fair is part of the specification, 0 otherwise
Claude Boivin, Stat.ASSQ