Payame Noor University (PNU) Control and Optimization in Applied Mathematics 2383-3130 11 2 2026 05 21 Comparison of Some MCDM Techniques in a Hesitant Fuzzy Environment 33 63 12693 10.30473/coam.2026.74974.1318 EN Harmandeep Kaur Department of Mathematics, Akal University, Talwandi Sabo (151302), Punjab, India Sukhpreet Kaur Sidhu Department of Mathematics, Akal University, Talwandi Sabo (151302), Punjab, India 0000-0003-0083-4526 Journal Article 2025 06 30  Multi-criteria decision-making (MCDM) often involves situations characterized by uncertainty, ambiguity, and vagueness. To address such complexities, MCDM techniques play a crucial role. This paper presents a comparative analysis of two widely used methods—Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)—within a hesitant fuzzy environment. Hesitant fuzzy sets allow decision-makers to express hesitation by assigning multiple possible membership values to an element rather than a single value. In this framework, the TOPSIS ranks alternatives based on their closeness to the positive and negative ideal solutions, while the VIKOR identifies a compromise solution by balancing individual and collective regret measures. The effectiveness of the comparison is demonstrated through illustrative numerical examples. Moreover, some real life applications of these methods are discussed. https://mathco.journals.pnu.ac.ir/article_12693_35b19290a043167aa43ba0eee5ea6918.pdf