fm.NonmodularityIndex_sparse {Rfmtool}

Nonmodularity index computation function in sparse representation

Description

Calculate all 2^n nonmodularity indices using Mobius transform of a fuzzy measure of lenght 2^n=m, using sparse representation

Usage

  fm.NonmodularityIndex_sparse( n, envsp=NULL)

Arguments

n

Number of inputs

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 all 2^n nonmodularity indice.

Author(s)

Gleb Beliakov, Andrei Kelarev, Quan Vu, Daniela L. Calderon, Deakin University

Examples

    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)