| changes.scenario {FCMapper} | R Documentation |
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. |
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.
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.
Author(s)
Shaun Turney
See Also
Examples
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))