Create Adj. Matrix w/ Edges Represented as IVFNs

This constructs an adjacency matrix with edges represented by interval-value fuzzy numbers (IVFNs) from an adjacency matrix of lower bounds and an adjacency matrix of upper bounds

Usage

make_adj_matrix_w_ivfns(lower = data.frame(), upper = data.frame())

Arguments

lower

[list() or data.frame()]
An n x n adjacency matrix that represents the lower limits of edges in an FCM

upper

[list() or data.frame()]
An n x n adjacency matrix that represents the upper limits of edges in an FCM

Value

[adj_matrix_w_ivfns]
An adjacency matrix (of class 'ivfn') with edges represented as IVFNs

Details

The input adjacency matrices must square n x n matrices with the same dimensions. The input can be either matrix, data.table, tibble, or data.table type objects, but the output will always be a data.frame. This is for output readability. data.table and tibble objects work logically, but their outputs require additional steps to parse from the user's perspective.

If the input matrices have named columns, those names will be carried over in the grey adjacency matrix. Otherwise, generic node IDs will be used (C1, C2, ... Cn).

See also

Other interval-valued-fuzzy-numbers: c.ivfn(), create_ivfn_fcm_from_conventional_fcm(), ivfn(), print.ivfn(), subtract_ivfn()

Examples

lower_adj_matrix <- data.frame(
  "A" = c(0, 0),
  "B" = c(0.4, 0)
)
upper_adj_matrix <- data.frame(
  "A" = c(0, 0),
  "B" = c(0.6, 0)
)
make_adj_matrix_w_ivfns(lower = lower_adj_matrix, upper = upper_adj_matrix)
#>      A        B
#> A 0, 0 0.4, 0.6
#> B 0, 0     0, 0