  Based on the data gained from a full-scale experiment, the order/disorder
characteristics of the compartment fire temperatures are analyzed. Among the
known permutation/encoding type entropies used to analyze time series, we look
for those that fit better in the fire phenomena. The literature in its major
part does not focus on time series with data collected during full-scale fire
experiments, therefore we do not only perform our analysis and report the
results, but also discuss methods, algorithms, the novelty of our entropic
approach and details behind the scene. The embedding dimension selection in the
complexity evaluation is also discussed. Finally, more research directions are
proposed.
