  In this paper, the results of computer simulations based on
Nowak--Szamrej--Latan\'e model with multiple (from two to five) opinions
available in the system are presented. We introduce the noise discrimination
level (which says how small the clusters of agents could be considered as
negligible) as a quite useful quantity that allows qualitative characterization
of the system. We show that depending on the introduced noise discrimination
level, the range of actors' interactions (controlled indirectly by an exponent
in distance scaling function, the larger the exponent the more influential the
nearest neighbors are) and the information noise level (modeled as social
temperature, which increases results in increase of randomness in taking the
opinion by the agents), the ultimate number of the opinions (measured as the
number of clusters of actors sharing the same opinion in clusters greater than
the noise discrimination level) may be smaller than the number of opinions
available in the system. These are observed in small and large information
noise limits but result in either unanimity, or polarization, or randomization
of opinions.
