nochanges.scenario: Scenario with no 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. A plot of the concept values over the iterations is given. It activates the matrix with a vector of 1s and squeezes the resulting vector with a logic function. The function checks for convergence and gives a warning if convergence isn't reached. A plot of the concept values over the iterations is given.

1	nochanges.scenario(matrix, concept.names, iter)

`matrix`	A quantitative fuzzy cognitive map.
`concept.names`	A character vector.
`iter`	The number of iterations.

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.

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")

nochanges.scenario(matrix,iter=25,concept.names)