changes.scenario: Scenario with fixed values
In FCMapper: Fuzzy Cognitive Mapping

Description Usage Arguments Details Value Author(s) See Also Examples

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.

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

`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.

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.

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.

Shaun Turney

nochanges.scenario

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))