Locally weighted regression of fuzzy data

• Main Author: 陳帥
• Other Authors: 吳柏林
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/zn6cx5

碩士 === 國立政治大學 === 應用數學系 === 105 === Objective: This paper aims to construct a new fuzzy regression model to solve a more complex fuzzy regression problem. Method: Build a new model by promoting the idea of locally weighted regression; Using simulated data to compare the new model with other models. Conclusion: The fuzzy membership degree concept combined with the locally weighted regression method makes the fuzzy regression theory have more applications. Originality: At present, the main idea in the field of fuzzy regression is to construct models by means of linear programming. In this paper, a new model of fuzzy regression is constructed from the perspective of locally weighted method for the first time.