Version [1.3]- [pyrepo-mcda - Reference objects based MCDA software package]

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

SoftwareX Pub Date : 2024-09-17 DOI:10.1016/j.softx.2024.101876

Aleksandra Bączkiewicz , Jarosław Wątróbski , Kesra Nermend , Wojciech Sałabun

引用次数: 0

Abstract

This paper presents the pyrepo-mcda Python package upgrade with the implementation of the Preference Vector Method (PVM) multi-criteria method. This upgrade extends the scope of multi-criteria decision analysis offered by this package. Several advantages of the PVM method, such as the reduction of the participation of decision-makers, the possibility of giving individual preference vectors, and the possibility of modification and further development, are in the interest of decision-makers in various multi-criteria decision analysis problems, particularly in the sustainability assessment.

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版本 [1.3]- [pyrepo-mcda - 基于参照对象的 MCDA 软件包］

本文介绍了 pyrepo-mcda Python 软件包的升级版，其中包含偏好向量法（PVM）多标准方法的实现。这一升级扩展了该软件包提供的多标准决策分析的范围。PVM 方法的几个优点，如减少决策者的参与、给出个人偏好向量的可能性以及修改和进一步发展的可能性，都是决策者在各种多标准决策分析问题中，特别是在可持续性评估中感兴趣的。

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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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.