Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office

碩士 === 大葉大學 === 工業工程與科技管理學系 === 99 === After the 921 earthquakes, the forest areas are destroyed seriously, and earthquakes lead to avalanches of mountains with the dirt flow. In addition, the reduction of forest areas causes the leak of ozone layer, the acid rain, the river choking and animal vanis...

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Main Authors: Sheng-Hong Nian, 粘聖弘
Other Authors: Yu-Wen Chen
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/27148453622706025278
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spelling ndltd-TW-099DYU000300122015-10-13T19:19:57Z http://ndltd.ncl.edu.tw/handle/27148453622706025278 Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office 以多目標資料包絡分析於林區管理處內部績效評估 Sheng-Hong Nian 粘聖弘 碩士 大葉大學 工業工程與科技管理學系 99 After the 921 earthquakes, the forest areas are destroyed seriously, and earthquakes lead to avalanches of mountains with the dirt flow. In addition, the reduction of forest areas causes the leak of ozone layer, the acid rain, the river choking and animal vanishing. Thus, recovering the forest areas is a necessary task. Taiwan forestry bureaus begin to care the problems above and increase the forest areas. This research is studying Taiwanese eight divisions of forestry bureaus by their input-output performances. We use the new multi-objective data envelopment analysis as the evaluation model, calculating the efficiency scores of eight forestry bureaus. After that, according to the efficiency scores, we found that the Nantou forestry bureau administrative office is the most efficient one. The multi-objective data envelopment analysis and traditional data envelopment analysis are compared with their distinguishing power by the coefficient of variation (CV), we conclude the new multi-objective model is more superior to the traditional data envelopment analysis. Yu-Wen Chen 陳郁文 2011 學位論文 ; thesis 46 zh-TW
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language zh-TW
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description 碩士 === 大葉大學 === 工業工程與科技管理學系 === 99 === After the 921 earthquakes, the forest areas are destroyed seriously, and earthquakes lead to avalanches of mountains with the dirt flow. In addition, the reduction of forest areas causes the leak of ozone layer, the acid rain, the river choking and animal vanishing. Thus, recovering the forest areas is a necessary task. Taiwan forestry bureaus begin to care the problems above and increase the forest areas. This research is studying Taiwanese eight divisions of forestry bureaus by their input-output performances. We use the new multi-objective data envelopment analysis as the evaluation model, calculating the efficiency scores of eight forestry bureaus. After that, according to the efficiency scores, we found that the Nantou forestry bureau administrative office is the most efficient one. The multi-objective data envelopment analysis and traditional data envelopment analysis are compared with their distinguishing power by the coefficient of variation (CV), we conclude the new multi-objective model is more superior to the traditional data envelopment analysis.
author2 Yu-Wen Chen
author_facet Yu-Wen Chen
Sheng-Hong Nian
粘聖弘
author Sheng-Hong Nian
粘聖弘
spellingShingle Sheng-Hong Nian
粘聖弘
Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
author_sort Sheng-Hong Nian
title Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
title_short Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
title_full Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
title_fullStr Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
title_full_unstemmed Using Multi-objective Data Envelopment Analysis on Internal Performance of Forest District Office
title_sort using multi-objective data envelopment analysis on internal performance of forest district office
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/27148453622706025278
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