Fuzzy N-Bipolar Soft Sets for Multi-Criteria Decision-Making:Theory and Application  

作　　者：Sagvan Y.Musa Baravan A.Asaad Hanan Alohali Zanyar A.Ameen Mesfer H.Alqahtani 

机构地区：[1]Department of Mathematics,College of Education,University of Zakho,Zakho,42002,Iraq [2]Department of Computer Science,College of Science,Knowledge University,Erbil,44001,Iraq [3]Department of Mathematics,College of Science,University of Zakho,Zakho,42002,Iraq [4]Department of Computer Science,College of Science,Cihan University-Duhok,Duhok,42001,Iraq [5]Department of Mathematics,College of Science,King Saud University,Riyadh,11451,Saudi Arabia [6]Department of Mathematics,College of Science,University of Duhok,Duhok,42001,Iraq [7]Department of Mathematics,University College of Umluj,University of Tabuk,Tabuk,48322,Saudi Arabia

出　　处：《Computer Modeling in Engineering & Sciences》2025年第4期911-943,共33页工程与科学中的计算机建模(英文)

摘　　要：This paper introduces fuzzy N-bipolar soft(FN-BS)sets,a novel mathematical framework designed to enhance multi-criteria decision-making(MCDM)processes under uncertainty.The study addresses a significant limitation in existing models by unifying fuzzy logic,the consideration of bipolarity,and the ability to evaluate attributes on a multinary scale.The specific contributions of the FN-BS framework include:(1)a formal definition and settheoretic foundation,(2)the development of two innovative algorithms for solving decision-making(DM)problems,and(3)a comparative analysis demonstrating its superiority over established models.The proposed framework is applied to a real-world case study on selecting vaccination programs across multiple countries,showcasing consistent DM outcomes and exceptional adaptability to complex and uncertain scenarios.These results position FN-BS sets as a versatile and powerful tool for addressing dynamic DM challenges.

关 键 词：Fuzzy N-bipolar soft sets N-bipolar soft sets N-soft sets MCDM ALGORITHMS 

分 类 号：O159[理学—数学]