Title: A comprehensive analysis of data normalisation techniques for the MUTRISS multi-criteria decision-making method

Authors: Do Duc Trung; Vo Thi Nhu Uyen; Nazlı Ersoy

Addresses: School of Mechanical and Automotive Engineering (SMAE), Hanoi University of Industry, Hanoi, 100000, Vietnam ' Department of Academic Affairs, Hanoi University of Industry, Hanoi, 100000, Vietnam ' Faculty of Economics and Administrative Sciences, Osmaniye Korkut Ata University, Osmaniye, 80000, Türkiye

Abstract: Multiple-triangles scenarios (MUTRISS) is a multi-criteria decision-making (MCDM) method grounded in an n-dimensional space, designed to rank alternatives and identify the optimal choice. This study investigates the effectiveness of alternative normalisation techniques across four distinct case studies to enhance the flexibility and expand the applicability of the MUTRISS method. The normalisation selection process involved two key stages: the application of distance measures and a comparative analysis. The findings suggest that the max-min normalisation technique is the most compatible with MUTRISS, while the sum normalisation technique negatively impacts its performance. By exploring the effectiveness of various normalisation processes for the first time, this study aims to improve the MUTRISS method, facilitating its use as a more versatile and robust decision-making tool.

Keywords: multi-criteria decision-making; MCDM; multiple-triangles scenarios; MUTRISS method; data normalisation.

DOI: 10.1504/IJMDM.2026.153688

International Journal of Management and Decision Making, 2026 Vol.25 No.3, pp.260 - 283

Received: 10 Aug 2025
Accepted: 07 Oct 2025
Published online: 21 May 2026 *

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