传统和模糊DEA模型与R

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-07-28 DOI:10.1016/j.softx.2025.102266

Vicente J. Bolós , Rafael Benítez , Vicente Coll-Serrano

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引用次数: 0

摘要

deaR是一个用于数据包络分析（DEA）的R软件包，它实现了大量的传统和模糊模型，以及超效率模型、交叉效率分析、Malmquist指数、自举和元前沿分析。值得注意的是，deaR是迄今为止唯一一个结合了Kao-Liu， Guo-Tanaka和可能性模糊模型的软件包。该包的多功能性允许用户使用不同的回报规模和方向，以及考虑特殊功能，即不可控制的，非自由裁量的或不希望的变量。此外，它还包括新颖的图形表示，可以帮助用户显示结果。本文是对deaR的简要描述，并给出了使用实例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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deaR: Conventional and fuzzy DEA models with R

deaR is an R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cross-efficiency analysis, Malmquist index, bootstrapping, and metafrontier analysis. It should be noted that deaR is the only package to date that incorporates Kao-Liu, Guo-Tanaka and possibilistic fuzzy models. The versatility of the package allows the user to work with different returns to scale and orientations, as well as to consider special features, namely non-controllable, non-discretionary or undesirable variables. Moreover, it includes novel graphical representations that can help the user to display the results. This paper is a short description of deaR, giving examples of use.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.