The Concentric Circles Improvement Algorithm of College Entrance Examination Admission Model

College entrance examination enrollment model is put forward as a cognitive structure model when the attribute theory makes the psychologically mathematical description. However, the attribute coordinate analysis method of the College entrance examination enrollment model cannot effectively sort the candidates who obtain a same total score which falls on the concentric circles. To solve this problem, this paper proposes a concentric circle improvement algorithm whose main idea is to get the minimum included angle between the tangent of the psychological standard curve and total score flat to determine the most satisfactory points on the concentric circles, and then to calculate the degree of satisfaction by the distance of points on the circle to the point of satisfaction.