fm.NonmodularityIndex_sparse | R Documentation |
Calculate all 2^n nonmodularity indices using Mobius transform of a fuzzy measure of lenght 2^n=m, using sparse representation
fm.NonmodularityIndex_sparse( n, envsp=NULL)
n |
Number of inputs |
envsp |
Structure required for sparse representation which stores the relevant values (k-tuples). It is obtained from fm.PrepareSparseFM(n). |
output |
The output is all 2^n nonmodularity indice. |
Gleb Beliakov, Andrei Kelarev, Quan Vu, Daniela L. Calderon, Deakin University
n <- 3 tups<-vector() tupsidx<-vector() envsp <- fm.PrepareSparseFM(n, tups,tupsidx) envsp <- fm.add_singletons_sparse(c(0.2,0.1,0.2),envsp) envsp <- fm.add_pair_sparse(1,2,0.4,envsp); fm.NonmodularityIndex_sparse(3,envsp) envsp <- fm.FreeSparseFM(envsp)
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