Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM  

作　　者：Muhammad Riaz Masooma Raza Hashmi Dragan Pamucar Yu-Ming Chu 

机构地区：[1]Department of Mathematics,University of the Punjab,Lahore,54590,Pakistan [2]Department of Logistics,Military academy,University of Defence,Belgrade,11000,Serbia [3]Department of Mathematics,Huzhou University,Huzhou,313000,China [4]Hunan Provincial Key Laboratory of MathematicalModeling and Analysis in Engineering,Changsha University of Science&Technology,Changsha,410114,China

出　　处：《Computer Modeling in Engineering & Sciences》2021年第3期1125-1164,共40页工程与科学中的计算机建模（英文）

摘　　要：The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal grades.To relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)process.SLDFSs can classify a physical systemwith the help of reference parameters.We discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal choice.We show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation operators.Some new operations on picture fuzzy sets are also introduced.Some fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are proposed.New aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM approach.An application of the proposed methodology with SLDF information is illustrated.The comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.

关 键 词：Spherical linear Diophantine fuzzy set new operations of picture fuzzy sets spherical linear Diophantine fuzzy weighted geometric aggregation operator spherical linear Diophantine fuzzy weighted average aggregation operator MCDM 

分 类 号：O15[理学—数学]