Novel Decision Making Methodology under Pythagorean Probabilistic Hesitant Fuzzy Einstein Aggregation Information

作     者：Shahzaib Ashraf Bushra Batool Muhammad Naeem 

作者机构：Institute of MathematicsKhwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of MathematicsUniversity of SargodhaSargodha40100Pakistan Department of MathematicsDeanship of Applied SciencesUmm Al-Qura UniversityMakkah24382Saudi Arabia 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2023年第136卷第8期

页      面：1785-1811页

核心收录：

学科分类：0710[理学-生物学] 0402[教育学-心理学(可授教育学、理学学位）] 12[管理学] 0401[教育学-教育学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 07[理学] 070104[理学-应用数学] 070105[理学-运筹学与控制论] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 

基　　金：the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4310396DSR32 

主　　题：Pythagorean probabilistic hesitant fuzzy set aggregation operators decision making 

摘      要：This research proposes multicriteria decision-making(MCDM)-based real-time Mesenchymal stem cells(MSC)transfusion *** testing phase of the methodology denotes the ability to stick to plastic surfaces,the upregulation and downregulation of certain surface protein markers,and lastly,the ability to differentiate into various cell ***,two scenarios of an enhanced dataset based on a medical perspective were created in the development phase to produce varying levels of ***,for real-timemonitoring ofCOVID-19 patients with different emergency levels(i.e.,mild,moderate,severe,and critical),an automated triage algorithmbased on a formal medical guideline is proposed,taking into account the improvement and deterioration procedures fromone level to the *** this strategy,Einstein aggregation information under the Pythagorean probabilistic hesitant fuzzy environment(PyPHFE)is *** operations on PyPHFE such as Einstein sum,product,scalar multiplication,and their properties are ***,several Pythagorean probabilistic hesitant fuzzy Einstein aggregation operators,namely the Pythagorean probabilistic hesitant fuzzy weighted average(PyPHFWA)operator,Pythagorean probabilistic hesitant fuzzy Einstein weighted geometric(PyPHFEWG)operator,Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted average(PyPHFEOWA)operator,Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted geometric(PyPHFEOWG)operator,Pythagorean probabilistic hesitant fuzzy Einstein hybrid average(PyPHFEHA)operator and Pythagorean probabilistic hesitant fuzzy Einstein hybrid geometric(PyPHFEHG)operator are *** the above-mentioned operators are helpful in design the algorithm to tackle uncertainty in decision making *** last,a numerical case study of decision making is presented to demonstrate the applicability and validity of the proposed ***,the comparison of the existing and the proposed technique is