Ishizaka, A, Pereira, V and Siraj, S orcid.org/0000-0002-7962-9930 (2021) AHPSort-GAIA: a visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry. Annals of Operations Research. ISSN 0254-5330
Abstract
Although Multi-criteria Decision Making methods have been extensively used for choice problems, their descriptive use has rarely been considered. The descriptive component is important because it allows decision makers to better understand the problem. In this paper, we add the descriptive method GAIA as an extension to the AHPSort method that helps policy makers to gain insights into their decision problems, through the portraying of a case in the food and drink industry. This descriptive component is implemented as a visual analysis. The proposed extension has been implemented in an open-source software tool that allows users to visualise the different performances of food suppliers within a review process and provide feedback for improvements within the food and drink industry.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This is an author produced version of an article, published in Annals of Operations Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | AHPSort; GAIA; Visualisation; Sorting; Food industry |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 May 2021 11:36 |
Last Modified: | 30 Mar 2023 14:56 |
Status: | Published online |
Publisher: | Springer |
Identification Number: | 10.1007/s10479-021-04082-4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173378 |