Successful Television Management: the Hybrid Approach

Fišer, Suzana Žilič

doi:10.3726/978-3-653-05542-9

Cited by 2 publications

(2 citation statements)

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“…The top priority task of the personnel of TV companies is to control the ratio of programs of different genres when forming the broadcast grid in order to increase and maintain the rating of the channel [1]. The rating of a television channel is determined by specialized sociological services and directly affects the cost of advertising time.…”

Section: Discussionmentioning

confidence: 99%

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Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results

Азаров

Krupelnitsky

Rakytyanska

2018

Preprint

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The purpose of the 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 the channel. In the multichannel environment, television rating control consists of selecting such content, ratings of which are completely restored after advertising. A hybrid approach combining the benefits of semantic training and fuzzy relational equations in simplification of the expert recommendation systems construction is proposed. The problem of retaining the television rating can be attributed to the problems of fuzzy resources control. 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. Rules refinement by solving fuzzy relational equations allows avoiding labor-intensive procedures for the generation and selection of expert rules. The solution set generation corresponds to the granulation of the television time, where each solution represents 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 solutions provides the decrease of the time needed for the programming of the channel broadcast grid.

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Section: Discussionmentioning

confidence: 99%

“…The problem of retaining the television rating can be attributed to the problems of fuzzy resources control [1,19]. In such models, the "demand-supply" relationships are described by fuzzy IF-THEN rules.…”

Section: Discussionmentioning

confidence: 99%

Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results

Азаров

Krupelnitsky

Rakytyanska

2018

Preprint

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

Азаров

Krupelnitsky

Rakytyanska

2018

2018 IEEE Second International Conference on Data Stream Mining &Amp; Processing (DSMP)

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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.

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Successful Television Management: the Hybrid Approach

Cited by 2 publications

References 0 publications

Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results

Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results

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

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