AHPSort-GAIA: a visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry
Alessio Ishizaka (),
Vijay Pereira () and
Sajid Siraj ()
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Alessio Ishizaka: NEOMA Business School
Vijay Pereira: NEOMA Business School
Sajid Siraj: Leeds University Business School
Annals of Operations Research, 2025, vol. 354, issue 2, No 10, 827-842
Abstract:
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.
Keywords: AHPSort; GAIA; Visualisation; Sorting; Food industry (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-021-04082-4
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