powered by
Generates num convex random fuzzy measures stored consecutively in cardinality ordering in the output array.
fm.generate_fmconvex_tsort(num, kint, markov, option, K, env = NULL)
The output is the generation of num convex random fuzzy measures stored consecutively in cardinality ordering in the array v
Several random fuzzy measures stored in cardinality ordering in the array v (num is their number)
Interactive fuzzy measure. 0 < kint <= n
Number of Markov steps to take, the randomness increases with that number
Option = 1 employs internal rejection method to improve uniformity, but for n > 5 is is not essential
K is the constant in k-interactive fuzzy measures
Environment variable obtained from fm.Init(n).
Gleb Beliakov, Andrei Kelarev, Quan Vu, Daniela L. Calderon, Deakin University
env<-fm.Init(3) fuzzymeasures <- fm.generate_fmconvex_tsort(1,3,1000,0,1, env)
Run the code above in your browser using DataLab