著者

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.62, no.596, pp.1439-1445, 1996-04-25

被引用文献数

1

---

Human reliability in a complex system has been studied to established the complete safety by analyzing the operator's performance in a control room of a nuclear power plant. In this paper, the connection of a mathematical model with the questionnaire to the plant designers and operators resulted in proposing a fuzzy tool for evaluating the quality of the recent automated control system. The present paper method is capable of calculating human performance by summing the weighted utility of attributes ; (i) this elicits the two dominant attributes with a modified fuzzy measures learning identification algorithm (FLIER) to describe the ill-defined man-machine system, (ii) FLIER reduces a set of attributes until human tasks will be represented clearly, (iii) a change in the performance is illustrated on the two-dimensional map of the dominant attributes with a function of the automated level, (iv) the designers and the operators decided the balance of the manipulated/automated phase on the after careful face-to-face communication.

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

---

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.