Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work

碩士 === 建國科技大學 === 電機工程系暨研究所 === 105 === As for the artistic work, it contains limitless possibility that has no right or wrong likewise in mathematics since people have a tendency to review a work based on own perspective. Therefore, if one’s subjective consciousness on art criticism shows a neutral...

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Main Authors: Chen, No, 陳諾
Other Authors: Wen, Kun-Li
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/gwymu2
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spelling ndltd-TW-105CTU004420032019-05-15T23:24:31Z http://ndltd.ncl.edu.tw/handle/gwymu2 Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work 應用灰色系統理論於藝術評論權重因子之分析 Chen, No 陳諾 碩士 建國科技大學 電機工程系暨研究所 105 As for the artistic work, it contains limitless possibility that has no right or wrong likewise in mathematics since people have a tendency to review a work based on own perspective. Therefore, if one’s subjective consciousness on art criticism shows a neutral stand, the aspects of criticism of art should have to be broader. However, the methods and procedures of art criticism-an uncertain field-include various factors. According to that, this paper will contain analytical study of the influential factors on reviewing works by using grey statistical clustering, grey relational grade and fuzzy evaluation method. In addition, our object for this research has twenty senior high students, ten from art class and ten from normal class, in the middle of Taiwan. After these students enjoy the winning works at National Contest of Art Exhibition, they fill in the survey about how individual has preferences on painting with subjective consciousness. As for grey statistical clustering, grey relational grade and fuzzy evaluation method, the main function is multi-factor analysis method, it based on different decision-making to do the comprehensive evaluation. It is very satisfied in our paper. Hence, the thesis uses grey statistical clustering, grey relational grade and fuzzy evaluation method as the mathematics model to calculate the weighting and to get the rank for each influence factor in the system. Also, the research target raised in the paper corresponds to this concept. Moreover, it can be very suitable especially doing cardinal analysis on an extremely subjective and unsure artistic work. Through utilizing grey statistical clustering, grey relational grade and fuzzy evaluation method to calculate and analyze in practice, it can effectively externalize the biased in art criticism. Hence, it enables to let different aspects of art criticism become more extensive. To the further related research of this field, it provides a subjective and brand-new way of evaluation. Wen, Kun-Li Wang, Jee-Ray 溫坤禮 王紀瑞 2017 學位論文 ; thesis 99 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 建國科技大學 === 電機工程系暨研究所 === 105 === As for the artistic work, it contains limitless possibility that has no right or wrong likewise in mathematics since people have a tendency to review a work based on own perspective. Therefore, if one’s subjective consciousness on art criticism shows a neutral stand, the aspects of criticism of art should have to be broader. However, the methods and procedures of art criticism-an uncertain field-include various factors. According to that, this paper will contain analytical study of the influential factors on reviewing works by using grey statistical clustering, grey relational grade and fuzzy evaluation method. In addition, our object for this research has twenty senior high students, ten from art class and ten from normal class, in the middle of Taiwan. After these students enjoy the winning works at National Contest of Art Exhibition, they fill in the survey about how individual has preferences on painting with subjective consciousness. As for grey statistical clustering, grey relational grade and fuzzy evaluation method, the main function is multi-factor analysis method, it based on different decision-making to do the comprehensive evaluation. It is very satisfied in our paper. Hence, the thesis uses grey statistical clustering, grey relational grade and fuzzy evaluation method as the mathematics model to calculate the weighting and to get the rank for each influence factor in the system. Also, the research target raised in the paper corresponds to this concept. Moreover, it can be very suitable especially doing cardinal analysis on an extremely subjective and unsure artistic work. Through utilizing grey statistical clustering, grey relational grade and fuzzy evaluation method to calculate and analyze in practice, it can effectively externalize the biased in art criticism. Hence, it enables to let different aspects of art criticism become more extensive. To the further related research of this field, it provides a subjective and brand-new way of evaluation.
author2 Wen, Kun-Li
author_facet Wen, Kun-Li
Chen, No
陳諾
author Chen, No
陳諾
spellingShingle Chen, No
陳諾
Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
author_sort Chen, No
title Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
title_short Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
title_full Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
title_fullStr Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
title_full_unstemmed Apply Grey System to Analyze the Weighting of the Influence Factor in Artistic Work
title_sort apply grey system to analyze the weighting of the influence factor in artistic work
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/gwymu2
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