PyTOPS: A Python']Python based tool for TOPSIS

被引：45

作者：

Yadav, Vinay ^{[1
]}

Karmakar, Subhankar ^{[1
,2
,3
]}

Kalbar, Pradip P. ^{[2
,3
]}

Dikshit, A. K. ^{[1
,3
]}

机构：

[1] Indian Inst Technol, Ctr Environm Sci & Engn, Mumbai 400076, Maharashtra, India

[2] Indian Inst Technol, Inter Disciplinary Program Climate Change, Mumbai 400076, Maharashtra, India

[3] Indian Inst Technol, Ctr Urban Sci & Engn, Mumbai 400076, Maharashtra, India

来源：

SOFTWAREX | 2019年 / 9卷

关键词：

!text type='Python']Python[!/text; TOPSIS; SELECTION; SUSTAINABILITY; TECHNOLOGY; MODEL;

D O I：

10.1016/j.softx.2019.02.004

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method determines the best solution from a set of alternatives with certain attributes. The best alternative is chosen based on its Euclidean distance from the ideal solution. TOPSIS is widely used in various multi-attribute decision making problems such as supply chain logistics, marketing management, environmental management or chemical engineering. Despite the extensive use of this method, there is no free and open-source software (FOSS) for TOPSIS with comprehensive post-analysis extensions. Therefore, this paper describes a Python-3 based tool PyTOPS for TOPSIS with the Berkeley Software Distribution (BSD)-3-Clause license. (C) 2019 The Authors. Published by Elsevier B.V.

引用

页码：217 / 222

页数：6

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