| 基于自适应直觉模糊推理的查新站质量评价方法研究 |
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| 引用本文： | 夏蕾.基于自适应直觉模糊推理的查新站质量评价方法研究[J].图书情报工作,2010,54(18):40-43. |
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| 作者姓名： | 夏蕾 |
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| 作者单位： | 江南大学图书馆 |
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| 摘 要： | 基于用户为中心原则，构建查新站质量评价的指标体系，将直觉模糊集理论引入查新站质量评价领域，提出基于自适应神经直觉模糊推理系统的查新站评价方法。首先，采用减法聚类确定自适应直觉模糊神经网络的结构；然后利用混合学习算法训练该网络的前件参数和结论参数；最后，通过采集数据对模型进行训练和测试，结果表明采用该方法所建立的评价模型是有效的。
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| 关 键 词： | 查新站 质量评价 直觉模糊集 自适应 |
| 收稿时间： | 2010-03-30 |
Research on Quality Evaluation in Novelty Search Institutions Based on Adaptive Intuitionistic Fuzzy Reasoning |
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| Xia Lei.Research on Quality Evaluation in Novelty Search Institutions Based on Adaptive Intuitionistic Fuzzy Reasoning[J].Library and Information Service,2010,54(18):40-43. |
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| Authors: | Xia Lei |
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| Institution: | Library of JiangNan University, |
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| Abstract: | The indicators system of quality evaluation in novelty search institutions based on the user-centered is established.A technique for quality evaluation in novelty search institutions based on Adaptive Neuro Intuitionistic Fuzzy Inference System(ANIFIS) is proposed with intuitionistic fuzzy set theory introduced into the area of quality evaluation in novelty search institutions.Firstly,the structure of ANIFIS is decided by subtractive clustering;then the premise parameters and consequent paramenters of ANIFIS are trained by hybrid learning algorithm.By the use of data,the model training and price forecasting are carried out,and the results show that the evaluation model is available. |
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| Keywords: | novelty search institutions quality evaluation intuitionistic fuzzy sets adaptive |
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