Management of Mathematics Concepts Based on Knowledge Structure

Knowledge Management of Mathematics Concepts was essential in educational environment. The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. Cognitive psychologists and mathematics educators are looking again at conceptual and procedural knowledge in mathematics learning. Building relationship between conceptual knowledge and the procedures of mathematics contributes to long-term memory of procedures and to their effective use. So we know that symbols could enhance concept and procedures apply concepts to solve problem efficiently. Sketch the graph of exponential function and logarithmic function. Find the inverse exponential function, logarithmic function and so on. The lack of other concrete example in general exponential and logarithmic function prevented the development of application about general exponential and logarithm. Numerical fundamental mathematic problems are provided with complicated number frequently. The lack of other concrete example in general exponential and logarithmic function prevented the development of application about general exponential and logarithm. Numerical fundamental mathematic problems are provided with complicated number frequently The conceptual knowledge, not mechanical algorithms, need more study and thought to identify. But there is a limitation for students use some materials to clarify complicated mathematic concepts perfectly. In order to insight the misconception of learning fundamental mathematics and progress teaching. The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modelling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. Applying the method of the cluster of fuzzy c-mean, we could distinguish characteristics of two groups.