@Article{cmes.2025.062139,
AUTHOR = {Muhammad Sarwar, Rafiq Alam, Kamaleldin Abodayeh, Saowaluck Chasreechai, Thanin Sitthiwirattham},
TITLE = {Suzuki-Type (μ, ν)-Weak Contraction for the Hesitant Fuzzy Soft Set Valued Mappings with Applications in Decision Making},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {143},
YEAR = {2025},
NUMBER = {2},
PAGES = {2213--2236},
URL = {http://www.techscience.com/CMES/v143n2/61425},
ISSN = {1526-1506},
ABSTRACT = {In this manuscript, the notion of a hesitant fuzzy soft fixed point is introduced. Using this notion and the concept of Suzuki-type ()-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.},
DOI = {10.32604/cmes.2025.062139}
}