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題名：以資料包絡分析衡量模糊資料之效率
作者：遲文麗
作者(外文)：Wen-Li Chyr
校院名稱：銘傳大學
系所名稱：管理科學研究所博士班
指導教授：李選士
沈佩蒂
學位類別：博士
出版日期：2007
主題關鍵詞：資料包絡分析法；資料不精確；模糊理論；決策支援系統；Data Envelopment Analysis；Data Imprecision；Fuzzy Theory；Decision Support Systems
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資料包絡分析法(Data Envelopment Analysis, DEA)是一種無參數的分析方法，用以衡量及評估一組決策單位多投入與多產出之相對效率的方法。傳統DEA之投入及產出為精確性量測，亦即DEA模式的係數為明確值。但現實環境中，有時投入及產出的精確值是無法獲取。在此狀況下，投入及產出資料可以模糊數表示之。本文以DEA對偶模式為基礎，提出CCR及BCC之模糊DEA模式。所提出之模式隨著模糊投入及產出的資料，可求得明確的效率值。
Data Envelopment Analysis(DEA) is a non-parametric technique for measuring and evaluating the relative efficiencies of a set of decision-making units (DMUs) in terms of a set of common inputs and outputs. Traditionally, the data of inputs and outputs are assumed to be measured with precision, i.e. the coefficients of DEA models are crisp value. However, this may not be always true. There are many circumstances where precise inputs and outputs can not be obtained. Under such situations, data of inputs and outputs can not be obtained. Under such situations, data of inputs and outputs can be represented by fuzzy numbers. Based on the dual program of DEA models, we propose fuzzy DEA models for CCR and BCC models. Our fuzzy DEA models provide crisp efficiency with fuzzy input and output data.
參考文獻
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二、中文部分
1. 黃旭男，民國82年，資料包絡分析法使用程序之研究及其在非營利組織效率評估上之應用，國立交通大學管理科學研究所博士論文。new window
2. 曾國雄，江勁毅，新的DEA效率衡量方式：以模糊多目標規劃建立之效率達成度, 管理學報，第17卷，第2期，頁369-388，民國89年new window
 
 
 
 
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