Fuzzy Performance Evaluation of a Hypermarket

碩士 === 國立高雄應用科技大學 === 工業工程與管理系 === 98 === ABSTRACT This paper proposes a methodology to measure the performance of the twelve branch offices of a hypermarket. To measure the performance of the branches, two crisp inputs and three fuzzy outputs are considered. We normalize these crisp inputs and fu...

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Main Authors: BobbyChen, 陳東笙
Other Authors: 唐惠欽
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/96207999658776586842
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spelling ndltd-TW-098KUAS80410582015-10-13T18:58:41Z http://ndltd.ncl.edu.tw/handle/96207999658776586842 Fuzzy Performance Evaluation of a Hypermarket 量販店之模糊績效評估 BobbyChen 陳東笙 碩士 國立高雄應用科技大學 工業工程與管理系 98 ABSTRACT This paper proposes a methodology to measure the performance of the twelve branch offices of a hypermarket. To measure the performance of the branches, two crisp inputs and three fuzzy outputs are considered. We normalize these crisp inputs and fuzzy outputs because their units are not same. The performances of all crisp inputs and fuzzy outputs are then aggregated to form an overall crisp input and fuzzy output performances. The weights associated with the crisp inputs and fuzzy outputs are same. Applying the first Yager ranking function to the fuzzy overall output yields a real number. Its efficient can be calculated. This paper also consider the six output weights: (1, 0, 0), (0, 1, 0), (0, 0, 1), (0.5, 0.25, 0.25), (0.25, 0.5, 0.25), (0.25, 0.25, 0.5) and consider the second Yager ranking function. We perform a computerized experiment that indicates no significantly differences exist among the weights associated with the outputs, ranking function and efficient. Therefore, weights associated with the outputs and ranking functions can not significantly affect the order of the efficient. 唐惠欽 2010 學位論文 ; thesis 50 zh-TW
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description 碩士 === 國立高雄應用科技大學 === 工業工程與管理系 === 98 === ABSTRACT This paper proposes a methodology to measure the performance of the twelve branch offices of a hypermarket. To measure the performance of the branches, two crisp inputs and three fuzzy outputs are considered. We normalize these crisp inputs and fuzzy outputs because their units are not same. The performances of all crisp inputs and fuzzy outputs are then aggregated to form an overall crisp input and fuzzy output performances. The weights associated with the crisp inputs and fuzzy outputs are same. Applying the first Yager ranking function to the fuzzy overall output yields a real number. Its efficient can be calculated. This paper also consider the six output weights: (1, 0, 0), (0, 1, 0), (0, 0, 1), (0.5, 0.25, 0.25), (0.25, 0.5, 0.25), (0.25, 0.25, 0.5) and consider the second Yager ranking function. We perform a computerized experiment that indicates no significantly differences exist among the weights associated with the outputs, ranking function and efficient. Therefore, weights associated with the outputs and ranking functions can not significantly affect the order of the efficient.
author2 唐惠欽
author_facet 唐惠欽
BobbyChen
陳東笙
author BobbyChen
陳東笙
spellingShingle BobbyChen
陳東笙
Fuzzy Performance Evaluation of a Hypermarket
author_sort BobbyChen
title Fuzzy Performance Evaluation of a Hypermarket
title_short Fuzzy Performance Evaluation of a Hypermarket
title_full Fuzzy Performance Evaluation of a Hypermarket
title_fullStr Fuzzy Performance Evaluation of a Hypermarket
title_full_unstemmed Fuzzy Performance Evaluation of a Hypermarket
title_sort fuzzy performance evaluation of a hypermarket
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/96207999658776586842
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