| dc.description.abstract | The wisdom of crowds (WOC) is a theory where it is believed that a multitude of people, unknown to each other and
not experts in some subject, can reach more accurate conclusions on this subject than each of them would achieve individually;
it could even have more accuracy than the result that a group of experts would obtain. This theory can be used to obtain
information from the individual knowledge of an inexperienced crowd, including knowledge on complex phenomena. In this
paper, the complex phenomenon is represented with the help of Neutrosophic Cognitive Maps (NCM), which allow us to capture
the cause-effect relations among the concepts according to each of the individuals’ judgments. In this case, a dynamic processing
of the results is carried out. The NCMs are aggregated following the WOC principles using an aggregation algorithm, which is
based on the Fuzzy Negative-Positive-Neutral (NPN) logic. The advantage of using NCM is that indeterminacy is included in
the modeling, thus individuals can express their opinions more reliably | |
