PyTOPS: A Python based tool for TOPSIS

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...

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Bibliographic Details
Main Authors: Vinay Yadav, Subhankar Karmakar, Pradip P. Kalbar, A.K. Dikshit
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:SoftwareX
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711018302279
Description
Summary: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. Keywords: Python, TOPSIS
ISSN:2352-7110