Multi-criteria models with trend evaluation in decision making support

Decision making support by multi-criteria models with evaluation of trends is considered. Multi-criteria models are designed to satisfy the expectations of customers, and data based on customer preferences are used for modification of the parameters in the multi-criteria model. Various segments of customers are found and observed by cluster analysis. Prevailing trends in customers' behavior are reflected in trends for individual clusters, which enables predicting the future customers' preferences in individual segments. The recently developed method of cognitive hierarchy process (CHP) is applied to find the optimal offer of goods with respect to the customer needs and expectations.