Probabilistic model for cognitive approach in market segmentation. Part 2

The essence of cognitive approach in market segmentation is to provide cognitive variables for segmentation of the hierarchical (network) structures. Lower levels of such hierarchies have equivalent sets of elements. These sets show the sum of significant characteristics of consumers, while different values identify the profiles. An algorithm (that determines the trend of the consumer profile to purchase a product) should be able to compute the probability values for a given element (based on the probability of values for the lower level elements connected to the given element in the hierarchy). The proposed algorithm calculates the probability of elements by stages, starting with the third level down to higher-level elements; the high level is the cognitive variable in the segmentation.