| "双一流"背景下基于学科评价的图书馆信息资源优化配置探讨 |
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| 引用本文： | 冷秋菊,郑建明,胡唐明."双一流"背景下基于学科评价的图书馆信息资源优化配置探讨[J].情报探索,2020(3):30-34. |
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| 作者姓名： | 冷秋菊 郑建明 胡唐明 |
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| 作者单位： | 南京财经大学图书馆 江苏南京 210023;南京大学信息管理学院 江苏南京 210023 |
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| 基金项目： | 江苏省高校哲学社会科学研究基金项目“基于双一流与数字化建设的第三代高校图书馆服务体系研究”(项目编号:2017SIB0257);南京财经大学2019年度高等教育及改革发展课题“建设一流财经类高校图书馆资源的保障策略研究”(项目编号:gjgfb201945)成果之一 |
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| 摘 要： | 目的/意义]旨在为高校图书馆优化配置信息资源采购资金提供参考。方法/过程]依据一流学科评估要求建立学科的评估指标体系,应用熵权法并结合TOPSIS模型得到各学科资金配置权重,根据资金的预算约束条件构建线性规划优化模型,借助MATLAB方法建立资金预算约束条件下信息资源采购资金最优配置方案,并通过仿真算例验证该方案的有效性。结果/结论]该方案能有效提高信息资源建设资金的投入效益。
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| 关 键 词： | 双一流 信息资源 熵权法 TOPSIS模型 线性规划模型 |
Discussion on Discipline Evaluation-based Optimized Allocation of Library’s information Resources Under the Background of “Double First-Class” |
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| Leng Qiuju,Zheng Jianming,Hu Tangming.Discussion on Discipline Evaluation-based Optimized Allocation of Library’s information Resources Under the Background of “Double First-Class”[J].Information Research,2020(3):30-34. |
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| Authors: | Leng Qiuju Zheng Jianming Hu Tangming |
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| Institution: | (Nanjing University of Finance&Economics Library,Nanjing Jiangsu 210023;School of Information Management Nanjing University,Nanjing Jiangsu 210023) |
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| Abstract: | Purpose/significance]The paper is to provide a reference for university library to optimize the allocation of procurement funds for the information resources.Method/process]According to the first-class discipline evaluation requirements the paper establishes the evaluation index system of disciplines.It uses the entropy weight method and TOPSIS model to get the weight of each discipline’s fund allocation and constructs the linear programming optimization model according to the budget constraints of funds.Then with the help of MATLAB method it establishes the optimal allocation scheme of information resource procurement funds under the budget constraints of funds and verifies the effectiveness of the scheme by simulation examples.Result/conclusion]The scheme can effectively improve the investment efficiency of information resources’construction funds. |
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| Keywords: | Double First-Class information resources entropy weight method TOPSIS model linear programming model |
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