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- Fukushima Takuya
- Osaka Prefecture University
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- Nakashima Tomoharu
- Osaka Prefecture University
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- Vicenç Torra
- Umeå University
Bibliographic Information
- Other Title
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- ファジィ推論を用いたRoboCupサッカーのチーム戦術分析
- ファジィ スイロン オ モチイタ RoboCup サッカー ノ チーム センジュツ ブンセキ
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Abstract
<p>In this paper, we propose an analysis method with fuzzy inference in order to improve the classification accuracy of team strategies in RoboCup soccer. It is currently difficult to quantitatively evaluate team strategies because there are no appropriate ways to represent game situations and also there are an intractable number of factors such as field states and tactics. Therefore, the performance of tactical analysis is not high enough to identify unknown teams. Because the kick probability distribution proposed in the previous works cannot consider the kick directions, this paper employs a kick direction distribution obtained by kernel density estimation using von-Mises distributions. In a series of computational experiments, a fuzzy inference system with the kick probability distribution as well as kick direction distribution in the antecedent is constructed from the RoboCup games. This paper evaluates the classification accuracy in order to investigate the performance of the proposed method.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 36 (0), 105-110, 2020
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390286981360787456
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- NII Article ID
- 130007957918
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 030689980
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed