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논문 기본 정보

자료유형
학술저널
저자정보
Su-Hyun Lee (Changwon National University) Yerin Jung (HiBrain.Net) Hyung-Woo Moon (Changwon National University) Yong-Tae Woo (Changwon National University)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제24권 제1호(통권 제178호)
발행연도
2019.1
수록면
41 - 47 (7page)

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초록· 키워드

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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.

목차

Abstract
I. Introduction
II. Preliminaries
III. A Batter Evaluation Model
IV. Calculation of Weights of Evaluation Elements
V. Conclusions
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