“…Generally, aggregation maps are widely applied in applied mathematics (e.g., statistics, probability, decision mathematics), pure mathematics (e.g., theory of means and averages, functional equations, measure theory), social sciences (e.g., mathematical psychology), computer and engineering sciences (e.g., operations research, engineering design, artificial intelligence, information theory, data fusion, image analysis), economics and finance (e.g., game theory, decision making, voting theory) and many other natural sciences. Thus, an important characteristic of aggregation maps is that they are applied in different fields [2,3].…”