This paper shows four different methods to evaluate multiple-output logic functions using decision diagrams: Shared BDD (SBDD), Multi-Terminal BDD (MTBDD), BDD for characteristic functions (CF), and BDDs for Encoded Characteristic Function for Non-zero outputs (ECFNs). Methods to compute average evaluation time for each type of decision diagrams are presented. By experimental analysis using benchmark functions, the number of nodes and average evaluation time are compared. Our results show that BDDs for ECFNs outperform MTBDDs, BDDs for CFs, and SBDDs with respect to both number of nodes and computation time. The sizes of BDDs for ECFNs are smaller than for MTBDDs, BDDs for CFs, and SBDDs.