非政府組織之效率研究，已吸引不少投入，然而如何利用各項投入產出因子、以及組織相關因素預測其效率，仍有待探索。本研究採用動態資料包絡分析模型，並結合貝氏網路、支持向量機之分類技術，提出評估與預測非營利組織效率的研究架構，最後以台灣四十家之非營利組織2013年至2015年財務資料為研究樣本，進行效率計算之實證研究與分類模式測試，透過案例研究期望有效衡量與預測非營利組織的經營成效，達到資源運用的最佳化，並作為非政府組織營運資訊之依據，提供非政府組織的評估結果給社會大眾檢驗。

Efficiency of research the Non-Governmental Organization (NGO), has attracted many investments. However, uses each item of input and output factors, as well as the organization correlation factor forecast its efficiency, still waited for the exploration. This research uses Dynamic data envelopment the analysis model, and unifies Bayesian network, classification technology the Support vector machine, proposed appraised and forecasts NGO efficiency the research construction. Finally, it seeks to make a profit take Taiwan 40 Non-Governmental Organizations the financial material as the research sample from 2013 to 2015. For conducts real diagnosis of research and the classified pattern test the efficiency computation, the cases research expectation weighs effectively and forecast NGO the management result, achieves the resources utilization the optimization, and as basis of the NGO operational performance. It provides Non-Governmental Organization the appraisal results the populace to examine for the society.

中文摘要 i
Abstract ii
目錄 iiii
圖目錄 v
表目錄 vii
第一章 緒論 1
第一節 研究背景與目的 1
第二節 研究內容 2
第二章 文獻探討 5
第一節 資料包絡分析 5
第二節 動態資料包絡分析 9
第三節 多目標規劃 10
第四節 簡單貝氏網路和支持向量機 11
第五節 非政府組織產業概述 14
第三章 研究方法 17
第一節 問題描述 17
第二節 動態資料包絡分析模型 18
第三節 分類模式 24
第四節 分析架構 25
第四章 案例研究 27
第一節 建立非政府組織投入/產出/移轉 27
第二節 蒐集決策單位資料 29
第三節 建立多目標資料包絡分析模型 31
第四節 使用簡單貝氏網路和支持向量機預測分組 37
第五節 結果分析 38
第五章 結論與未來研究方向 43
第一節 結論 43
第二節 未來研究方向 44
參考文獻 45
附錄一: 投入產出分組 49
附錄二: 分開(Separate)與DDEA分組分類 53
附錄三: 分開(Separate)與DDEA效率數量 61
附錄四: 台灣非政府組織分類之財務資料 63
附錄五: 台灣非政府組織編碼資料 73

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