@article{Sarwar2025, 
author = {Muhammad Sarwar and Rafiq Alam and Kamaleldin Abodayeh and Saowaluck Chasreechai and Thanin Sitthiwirattham},
title = {Suzuki-Type ( μ,ν)-Weak Contraction for the Hesitant Fuzzy Soft Set Valued Mappings with Applications in Decision Making},
year = {2025},
journal = {Computer Modeling in Engineering & Sciences},
volume = {143},
number = {2},
pages = {2213-2236},
keywords = {Hesitant fuzzy soft set valued mapping, Suzuki-type (μ, ν)-weak contraction, fixed point, decision making problem},
url = {https://www.sciopen.com/article/10.32604/cmes.2025.062139},
doi = {10.32604/cmes.2025.062139},
abstract = {In 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.}
}