【摘要】：傳統(tǒng)數(shù)據(jù)包絡(luò)分析要求輸入輸出數(shù)據(jù)為精確數(shù),然而在某些實(shí)際應(yīng)用中,區(qū)間形式的數(shù)據(jù)相較于精確數(shù)更容易獲得.將區(qū)間數(shù)轉(zhuǎn)化為白化值,并基于傳統(tǒng)C~2R模型提出了基于白化值的區(qū)間C~2R模型.考慮到?jīng)Q策單元的有效性不易通過基于白化值的區(qū)間C~2R模型來判斷,因此將非阿基米德無窮小概念引入到上述模型,構(gòu)建了具有非阿基米德無窮小的區(qū)間C~2R模型.此外,還給出了用于判斷決策單元有效性的區(qū)間目標(biāo)規(guī)劃方法:分別通過G_(IC~2R)模型和WG_(IC~2R)模型判斷決策單元是否為區(qū)間DEA有效與區(qū)間弱DEA有效.
[Abstract]:Traditional data envelopment analysis (DEA) requires that the input and output data be accurate numbers. however, in some practical applications, interval data are easier to obtain than exact numbers. The interval number is transformed into whitening value, and based on the traditional C 鈮，

本文編號：2487601