fm.generate_fm_kinteractivedualconcave: Function for generating k-interactive dual concave fuzzy measures in Mobius representation
Description
Generates num k-interactive dual concave fuzzy measures in Mobius representation using random walk of length markov of stepsize step
Usage
fm.generate_fm_kinteractivedualconcave(num, n, kadd, markov, step, Fn, env)
Value
output
The output are k-interactive dual concave fuzzy measures in Mobius representation
Arguments
num
Generated num random fuzzy measures stored consecutively in cardinality ordering in the array v.
n
Number of inputs.
kadd
kadd is the value of k-additivity, which is used for reducing the complexity of fuzzy measures. default value is kadd = n. 1 < kadd < n+1; if kdd=n - f.m. is unrestricted.
markov
Number of Markov steps to take, the randomness increases with that number.
step
The maximum size of random steps (with respect to each value). The actual step is a random value up to Step.
Fn
The callback function to verify any additional conditions on generated FM. Provided by the user.
env
Environment variable obtained from fm.Init(n).
Author
Gleb Beliakov, Andrei Kelarev, Quan Vu, Daniela L. Calderon, Deakin University