Entropy-Based Search for the Most Informative Belief Functions

The paper deals Jiroušek, R. Kratochvl, V. with the problem studied in our previous paper published in Int. J. Approx. Reasoning, which raised new questions rather than brought solutions. Thus, the current contribution also tries to answer the ever-lasting question: Which belief function entropies described in the literature can detect optimal models? Nevertheless, here, we approach the problem differently. We try to find out the entropy functions that are indirectly proportional to the informative content of belief functions, i.e., the moreinformative the belief function, the lower its entropy.