fm.min_subset_sparse: Minimun of x computation function in sparse representation

In Rfmtool: Fuzzy Measure Tools

Minimun of x computation function in sparse representation

Description

Calculates minimum of x with the indices belonging to tuple indexed as S

Usage

  fm.min_subset_sparse(x, S, cardS, envsp=NULL)

Arguments

x	Input vector of size n, containing utility value of input criteria. x is in [0,1].
S	Indices belonging to tuple indexed
cardS	Cardinality cardS
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 the minimum of x with the indices belonging to tuple indexed as S

Author(s)

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

Examples

  n <- 3
  envsp <- fm.PrepareSparseFM(n, vector(), vector()) 
  envsp <- fm.add_singletons_sparse(c(0.2,0.1,0.2),envsp) 
  envsp <- fm.add_tuple_sparse(c(1,2,3),0.4,envsp);

  fm.min_subset_sparse(c(0.1,0.05,0.2),0,3,envsp)
  

Rfmtool documentation built on Feb. 16, 2023, 9:21 p.m.