changes.scenario: Scenario with fixed values

Description

The equilibrium values of the concepts in a fuzzy cognitive map are calculated. One or more concept values can be fixed by the user to be within 0 or 1. At each iteration (time step) the fixed concepts are set back to their chosen values. A plot of the concept values over the iterations is given.

Usage

changes.scenario(matrix, concept.names, iter, set.concepts, set.values)

Arguments

matrix

A quantitative fuzzy cognitive map.

concept.names

A quantitative character vector.

iter

Number of iterations.

set.concepts

A character vector.

set.values

A numeric vector.

Value

A dataframe containing the equilibrium values of the concepts. If equilibrium has not been reached a warning will be printed. A plot of the concept values over the iterations is given.

Details

The fuzzy cognitive map should be in the form of quantitative adjacency matrices. The concept.names input is the names of the concepts in thefuzzy cognitive map. set.concepts is a character vector of the concepts the user wishes to fix, while set.values gives the desired values in the same order.

Examples

Run this code


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")

changes.scenario(matrix,concept.names,iter=25,set.concepts=c("B","G"),set.values=c(0.5,0))