Forecasting Using Information and Entropy Based on Belief Functions

Algorithm 1

Monte Carlo algorithm for approximating a predictive entropy-based belief function (random interval case).

	Require: Desired number of focal sets , number of support vector , support spaces of coefficients and error terms .
fortodo
Draw from uniform [0, 1]
Search for such that ,
and .
Search for such that ,
and
end for