An Approach to Setting up Dataset for Winner-Domain Algorithm Selecting Teamers Participating in Vietnam National Competitions

Abstract

The dataset of competitors� performance in some recent years is the input of winner-domain algorithm selecting good student as member of a subject team participating in Vietnam national prize. The data of learning performance features may be retrieved from the competitors� learning outcomes. Meanwhile, the collection of non-learning performance feature data of competitors meets challenges relating to the individual right and interviewees� cooperation for answering questionnaire. This research analyzed competitors� skills and lifestyle into very simple questions with very easy answer mode, without the deep relation to their individual lifestyle. The reply-matrix and reply-cube are formed to map simple answers of questionnaire reply into quantitative values. This approach may be flexibly applied to easily form the datasets of competitors� performance for various subjects in different years and at different levels of competitions.