유전 알고리즘을 이용한 한국프로야구 타자평가모형

• Published in: 한국컴퓨터정보학회논문지, 24(1) pp. 41 - 47
• Main Authors: 이수현, 정예린, 문형우, 우용태
• Format: Journal Article
• Language: Korean
• Published: 한국컴퓨터정보학회 01.01.2019
• Subjects: 컴퓨터학
• ISSN: 1598-849X; 2383-9945
• DOI: 10.9708/jksci.2019.24.01.041

In this paper, we propose a new batter evaluation model that reflects the skill of the opponent pitcher in Korean professional baseball. The model consists of evaluation factors such as Run Value, Contribution Score and Ball Consumption considering the pitcher grade. These evaluation factors are calculated as different data. In order to include the evaluation factors having different characteristics into one model, each evaluation factor is weighted and added. The genetic algorithms were used to calculate the weights, and the data were based on the 2016 records of Korea Professional Baseball and the salary data of the players of 2017. As a result of calculation of the weight, the weight of the Run Value was high and the weight of the Contribution Score was very low. This means that when calculating the annual salary, it reflects much of the expected score according to the batting result of the batter. On the other hand, the contribution score indicating the degree to which the batting result contributed to the victory of the team according to the state of the economy is not reflected in the salary or point system. KCI Citation Count: 0