Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/110693
題名: 模糊數據的局部加權回歸
Locally weighted regression of fuzzy data
作者: 陳帥
貢獻者: 吳柏林
陳帥
關鍵詞: 模糊理論
模糊回歸分析
局部加權
Fuzzy theory
Fuzzy regression
Locally weighted method
日期: 2017
上傳時間: 3-Jul-2017
摘要: 目標:本文旨在建構一種新型的模糊回歸模式,解決一类較複雜的模糊回歸問題。\n研究方法:推廣局部加權回歸的思想,先從理論上構建新模型;然後借由模拟數據,從多個方面考察新模型的性質,并和其他模型做比較。\n發現:局部加權回歸方法結合模糊隸屬度概念,使模糊回歸理論有更多的應用場合。\n原創性:目前在模糊回歸領域的主流思想是通過線性規劃等方法來構建模型,而本文另闢蹊徑,首次從局部加權的角度構建了模糊回歸的新模型。
Objective: This paper aims to construct a new fuzzy regression model to solve a more complex fuzzy regression problem.\nMethod: Build a new model by promoting the idea of locally weighted regression; Using simulated data to compare the new model with other models.\nConclusion: The fuzzy membership degree concept combined with the locally weighted regression method makes the fuzzy regression theory have more applications.\nOriginality: 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.
參考文獻: [1] L.A. Zadeh, Fuzzy sets, Information and Control, Volume 8, Issue 3, June 1965, pp.338–353\n[2] H. Tanaka, S. Uejima, K. Asai,Linear regression analysis with fuzzy model, IEEE Trans. Sys., Man. Cyber., 12 (1982), pp. 903–907.\n[5] William S. Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, Vol. 74,No. 368.(Dec., 1979),pp. 829-836.\n[6]Phil Diamond, Fuzzy Least Squares, Information Sciences 46(3), 1988, pp.141\n-157\n[7] Pierpaolo D`Urso, Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data ,Computational Statistics & Data Analysis, Volume 42, Issues 1–2, (2003), pp.47–72.\n[8] P. Anand Raj, D. Nagesh Kumar, Ranking alternatives with fuzzy weights using maximizing set and minimizing set ,Fuzzy Sets and Systems,1999,pp365-375\n[3]吳柏林,模糊統計導論第二版(2015),五南出版社(台北),p153.\n[4]陳孝煒、吳柏林,區間回歸與模糊樣本分析,管理科學與統計決策, 4(1), 2007
描述: 碩士
國立政治大學
應用數學系
104751018
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0104751018
資料類型: thesis
Appears in Collections:學位論文

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