著者

尾上 英雄 佐野 典秀 高橋 亮一

出版者

一般社団法人日本機械学会

雑誌

日本機械学會論文集. C編 (ISSN:03875024)

巻号頁・発行日

vol.60, no.580, pp.4168-4174, 1994-12-25

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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.