| 基于数据驱动加权的模糊评价量化方法 |
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| 引用本文： | 尹龙军. 基于数据驱动加权的模糊评价量化方法[J]. 模糊系统与数学, 2020, 34(1): 80-86 |
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| 作者姓名： | 尹龙军 |
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| 作者单位： | 重庆邮电大学理学院,重庆400065 |
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| 基金项目： | 国家自然科学基金;重庆市教委科研项目 |
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| 摘 要： | 模糊评价改变了量化打分的评价方式,使评价者能够更加客观的进行评价,因此在各行各业有着广泛的应用。但是如何将模糊评价转化为量化分值,以便对被评价者进行评价一直是不少学者研究的重点。本文提出一种将模糊评价进行量化评分的新方法,并提出了一种以评价数据来驱动各项指标权重的方法。
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| 关 键 词： | 模糊评价 数据驱动 加权 |
A Quantitative Method of Fuzzy Evaluation Base on Drive the Weights of Various Indicators with Evaluation Data |
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| YIN Long-jun. A Quantitative Method of Fuzzy Evaluation Base on Drive the Weights of Various Indicators with Evaluation Data[J]. Fuzzy Systems and Mathematics, 2020, 34(1): 80-86 |
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| Authors: | YIN Long-jun |
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| Affiliation: | (School of Science,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Abstract: | Fuzzy evaluation has changed the evaluation method of quantified scoring, so that evaluators can evaluate more objectively.Therefore,it has a wide range of applications in various fields.However, how to convert fuzzy evaluation into quantified scores in order to evaluate the assessees has been a focus. This paper proposes a new method to quantify fuzzy evaluations, and proposes a method to use evaluation data to drive the weights of various indicators. |
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| Keywords: | Fuzzy Evaluation Data Driven Weight |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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