combine.maps {FCMapper}

Map aggregator

Description

Aggregates two fuzzy cognitive maps into one.

Usage

combine.maps(matrix1, matrix2, concept.names1, concept.names2)

Arguments

matrix1

A quantitative fuzzy cognitive map.

matrix2

A quantitative fuzzy cognitive map.

concept.names1

A character vector.

concept.names2

A character vector.

Details

The fuzzy cognitive maps should be in the form of quantitative adjacency matrices. The concept.names inputs are the names of the concepts in the first and second fuzzy cognitive maps, respectively.

Value

An aggregated fuzzy cognitive map in adjacency matrix format. It contains the edges and concepts of the two inputted fuzzy cognitive maps. Edges which are shared between the two fuzzy cognitive maps are averaged in the aggregated map.

Author(s)

Shaun Turney

Examples

#Matrix 1
matrix = matrix(nrow=7,ncol=7)
matrix[1,] = c(0,-0.5,0,0,1,0,1)
matrix[2,] = c(1,0,1,0.2,0,0,0.6)
matrix[3,] = c(0,1,0,0,0,0,0)
matrix[4,] = c(0.6,0,0,1,0,0,0.1)
matrix[5,] = c(0,0.5,0,0,1,0,-0.6) 
matrix[6,] = c(0,0,-1,0,0,0,0)
matrix[7,] = c(0,0,0,-0.5,0,0,1)
concept.names = c("A","B","C","D","E","F","G")

#Matrix 2
matrix2 = matrix(nrow=6,ncol=6)
matrix2[1,] = c(0,1,0,1,0,0)
matrix2[2,] = c(-1,1,0,-1,0,1)
matrix2[3,] = c(0,0,1,0,0,1)
matrix2[4,] = c(-1,0,0,0,0,0)
matrix2[5,] = c(0,0.5,0,0,1,0) 
matrix2[6,] = c(1,0,0,-1,0,0)
concept.names2 = c("E","F","G","H","I","J")

#Aggregate
combine.maps(matrix1=matrix,matrix2=matrix2,concept.names1=
concept.names,concept.names2=concept.names2)