A Fuzzy Model of Television Rating Control with Trend Rules Tuning Based on Monitoring Results

The problem of constructing the recommendation rules for the television rating control is considered. A hybrid approach combining the benefits of semantic training and fuzzy relational equations in simplification of the process of expert recommendation systems construction is proposed. The problem of retaining the television rating can be attributed to the problems of fuzzy resources control. The trends of demand-supply relationships are described by the primary fuzzy knowledge bases. Rules refinement by solving the primary system of fuzzy relational equations allows avoiding labor-intensive procedures for the generation and selection of expert rules.