文章摘要
俞立平,沈洁.图情学多属性评价中无量纲化方法综述[J].情报工程,2020,6(4):004-014
图情学多属性评价中无量纲化方法综述
Summary of Dimensionless Methods in Multi-attribute Evaluation
  
DOI:10.3772/j.issn.2095-915X.2020.04.001
中文关键词: 多属性评价;指标标准化;无量纲化;综述
英文关键词: Multi-attribute comprehensive evaluation; index normalization; dimensionless; summary
基金项目:国家社科基金项目“学术评价与创新绩效评价问题研究”(19FTQB011)。
作者单位
俞立平 浙江工商大学统计与数学学院 杭州 310018 
沈洁 浙江工商大学统计与数学学院 杭州 310018 
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中文摘要:
      多属性评价是图情学学术评价中重要的评价方法,而指标无量纲化方法是多属性评价过程中重要的环节,不同的指标无量纲化方法会对指标权重及多属性评价结果产生重大影响,因此,对多属性评价中无量纲化方法的系统梳理具有重要意义。本文从多属性评价中无量纲化方法的分类出发,对常见的线性无量纲化方法与非线性无量纲化方法的特点进行系统阐述,并对反向指标、适度指标的无量纲化处理进行特别说明,厘清了一些误用的方法。在此基础上,本文详细介绍了对多属性评价中无量纲化选择的标准,并提出研究的展望。通过本文的梳理以期为图情学学术评价中无量纲化方法的选择提供指导。
英文摘要:
      Multi-attribute evaluation is an important evaluation method in the academic evaluation of library and information science, and the non-dimensional index method is an important link in the multi-attribute evaluation process. Different nondimensional index methods will have a significant impact on the index weight and the results of the multi-attribute evaluation. Therefore, it is of great significance to systematically comb the dimensionless methods in multi-attribute evaluation. Starting from the classification of dimensionless methods in multi-attribute evaluation, this paper systematically describes the characteristics of common linear dimensionless methods and nonlinear dimensionless methods, specializes in the dimensionless processing of reverse indicators and moderate indicators, clarified some misused methods. On this basis, this paper introduces in detail the criteria for non-dimensional method selection in multi-attribute evaluation, and puts forward a research outlook. This article hopes to provide guidance for the choice of dimensionless methods in the academic evaluation of library and information science.
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