fm.generate_fm_kadditive_convex_sparse {Rfmtool} | R Documentation |
Generate kadditive convex sparse fuzzy measures
Description
Generates a random k-additive Belief fuzzy measure in sparse representation
Usage
fm.generate_fm_kadditive_convex_sparse(n, kadd, nonzero, envsp = NULL)
Arguments
n |
Inputs length. (n inputs) |
kadd |
kadd is the value of k-additivity, which is used for reducing the complexity of fuzzy measures. default value is kadd = n. 1 < kadd < n+1; if kdd=n - f.m. is unrestricted |
nonzero |
Values stored and indexed in the respective arrays which are part of the structure |
envsp |
Structure required for sparse representation which stores the relevant values (k-tuples). It is obtained from fm.PrepareSparseFM(n). |
Value
output |
The output is k-additive Belief fuzzy measure in sparse representation |
Author(s)
Gleb Beliakov, Andrei Kelarev, Quan Vu, Daniela L. Calderon, Deakin University
Examples
n <- 5
tups<-vector()
tupsidx<-vector()
envsp <- fm.PrepareSparseFM(n, tups,tupsidx)
envsp <- fm.generate_fm_kadditive_convex_sparse(n,4,10, envsp)
envsp
envsp <- fm.FreeSparseFM(envsp)
[Package Rfmtool version 5.0.4 Index]