ファジィ積分を用いたテニスにおけるプレーの難易度評価

• 尾上 英雄

• 佐野 典秀

• 高橋 亮一

書誌事項

タイトル別名

• Evaluation of Difficulty of Tennis Games with Fuzzy Integrals.
• ファジィ セキブン オ モチイタ テニス ニ オケル プレー ノ ナンイド ヒ

抄録

It is important to. analyze the human task in sports such as tennis games. In this paper, a fuzzy tool for evaluating of tasks in a tennis game has been proposed based on a mathematical model and questionnaires issued to players themselves. The present method is capable of calculating human performance by summing up the fuzzy-measured PSF (performance shaping factor). This elicits the two dominant PSFs with a modified fuzzy measure learning identification algorithm (FLIA) to describe the ill-defined process of human activity in tennis games. FLIA reduces a set of PSFs until human tasks are represented clearly, and groupings of tasks are illustrated on a two-dimensional map of the dominant PSF. Characteristics of groups among players of different levels are then studied via the cluster analysis.

収録刊行物

• 日本機械学会論文集Ｃ編

  日本機械学会論文集Ｃ編 60 (580), 4168-4174, 1994

  一般社団法人 日本機械学会

キーワード

• Human Engineering
• Sports Engineering
• Identification
• Fuzzy Measures
• PSF
• FLIA
• Tennis Games

詳細情報

• CRID: 1390282681304448000
• NII論文ID: 130004230901
• NII論文ID: 110002381343
• NII書誌ID: AN00187463
• DOI: 10.1299/kikaic.60.4168
• ISSN: 18848354
• ISSN: 03875024
• NDL書誌ID: 3272198
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I3272198
• Web Site: http://www.jstage.jst.go.jp/article/kikaic1979/60/580/60_580_4168/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可