Abstract
The purpose of this study is to control the ratio of programs of different genres whenforming the broadcast grid in order to increase and maintain the rating of a channel. In themultichannel environment, television rating controls consist of selecting content, the ratings ofwhich are completely restored after advertising. The hybrid approach to rule set refinement basedon fuzzy relational calculus simplifies the process of expert recommendation systems construction.By analogy with the problem of the inverted pendulum control, the managerial actions aim to retainthe balance between the fuzzy demand and supply. The increase or decrease trends of the demandand supply are described by primary fuzzy relations. The rule-based solutions of fuzzy relationalequations connect significance measures of the primary fuzzy terms. Program set refinement bysolving fuzzy relational equations allows avoiding procedures of content-based selective filtering.The solution set generation corresponds to the granulation of television time, where each solutionrepresents the time slot and the granulated rating of the content. In automated media planning,generation of the weekly TV program in the form of the granular solution provides the decrease oftime needed for the programming of the channel broadcast grid.
Highlights
Computer Facilities Department, Vinnytsia National Technical University, 95, Khmelnitske sh., Soft Ware Design Department, Vinnytsia National Technical University, 95, Khmelnitske sh., 21021 Vinnytsia, Ukraine
By analogy with the problem of the inverted pendulum control, the managerial actions aim to retain the balance between the fuzzy demand and supply
The fuzzy model for retaining the TV rating is proposed in the framework of fuzzy relational calculus
Summary
Computer Facilities Department, Vinnytsia National Technical University, 95, Khmelnitske sh., Soft Ware Design Department, Vinnytsia National Technical University, 95, Khmelnitske sh., 21021 Vinnytsia, Ukraine. A fuzzy model of television rating control with trend rules tuning based on monitoring results. The purpose of this study is to control the ratio of programs of different genres when forming the broadcast grid in order to increase and maintain the rating of a channel. The hybrid approach to rule set refinement based on fuzzy relational calculus simplifies the process of expert recommendation systems construction. The increase or decrease trends of the demand and supply are described by primary fuzzy relations. The rule-based solutions of fuzzy relational equations connect significance measures of the primary fuzzy terms. Program set refinement by solving fuzzy relational equations allows avoiding procedures of content-based selective filtering. Generation of the weekly TV program in the form of the granular solution provides the decrease of time needed for the programming of the channel broadcast grid
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