Muhammad SarwarRafiq AlamKamaleldin AbodayehSaowaluck ChasreechaiThanin Sitthiwirattham2025-07-072025-07-072025CMES - Computer Modeling in Engineering and Sciences1526149210.32604/cmes.2025.0621392-s2.0-105007970685https://repository.dusit.ac.th/handle/123456789/7311In this manuscript, the notion of a hesitant fuzzy soft fixed point is introduced. Using this notion and the concept of Suzuki-type (μ, ν)-weak contraction for hesitant fuzzy soft set valued-mapping, some fixed point results are established in the framework of metric spaces. Based on the presented work, some examples reflecting decision-making problems related to real life are also solved. The suggested method’s flexibility and efficacy compared to conventional techniques are demonstrated in decision-making situations involving uncertainty, such as choosing the best options in multi-criteria settings. We noted that the presented work combines and generalizes two major concepts, the idea of soft sets and hesitant fuzzy set-valued mapping from the existing literature. Copyright © 2025 The Authors.decision making problemfixed point; Hesitant fuzzy soft set valued mappingSuzuki-type (μ, ν)-weak contractionSuzuki-Type (μ, ν)-Weak Contraction for the Hesitant Fuzzy Soft Set Valued Mappings with Applications in Decision MakingArticleScopus