Extended TOPSIS method for supplier selection under picture hesitant fuzzy environment using linguistic variables
type: Item
instance of: scholarly article
title: Extended TOPSIS method for supplier selection under picture hesitant fuzzy environment using linguistic variables
zbMATH Open document ID: 1477.90025
DOI: 10.1155/2021/6652586
author: Rabia Ambrin
author: Muhammad Ibrar
author: Ihsan Rabbi
author: Asghar Khan
author: M. De la Sen
published in: Journal of Mathematics
publication date: 2021-06-28T00:00:00Z
review text: Summary: The main purpose of this planned manuscript is to establish an algorithm for the solution of multiattribute decision-making (MADM) issues, where the experts utilizing linguistic variables provide the information about attributes in the form of picture hesitant fuzzy numbers. So, for the solution of these kinds of issues, we develop the TOPSIS algorithm under picture hesitant fuzzy environment using linguistic variables, which plays a vital role in practical applications, notably MADM issues, where the decision information is arranged by the decision-makers (DMs) in the form of picture hesitant fuzzy numbers. Finally, a sample example is given as an application and appropriateness of the planned method. At the end, we conduct comparison analysis of the planned method with picture fuzzy TOPSIS method and intuitionistic fuzzy TOPSIS method.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 91B06
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 7363813
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2021/6652586
OpenAlex ID: W3157003699
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description: scientific article; zbMATH DE number 7363813