Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets  

作　　者：Murugan Palanikumar Nasreen Kausar Dragan Pamucar Seifedine Kadry Chomyong Kim Yunyoung Nam 

机构地区：[1]Saveetha School of Engineering,Saveetha Institute of Medical and Technical Sciences,Chennai,602105,India [2]Department of Mathematics,Faculty of Arts and Science,Yildiz Technical University,Esenler,Istanbul,34220,Turkey [3]Department of Operations Research and Statistics,Faculty of Organizational Sciences,University of Belgrade,Belgrade,11000,Serbia [4]College of Engineering,Yuan Ze University,Taoyuan City,320315,Taiwan,China [5]Department of Applied Data Science,Noroff University College,Kristiansand,4612,Norway [6]Artificial Intelligence Research Center(AIRC),Ajman University,Ajman,346,United Arab Emirates [7]Department of Electrical and Computer Engineering,Lebanese American University,Byblos,1102-2801,Lebanon [8]ICT Convergence Research Center,Soonchunhyang University,Asan,31538,South Korea [9]Department of Computer Science and Engineering,Soonchunhyang University,Asan,31538,South Korea

出　　处：《Computer Modeling in Engineering & Sciences》2024年第6期3353-3385,共33页工程与科学中的计算机建模（英文）

基　　金：supported by the National Research Foundation of Korea(NRF)Grant funded by the Korea government(MSIT)(No.RS-2023-00218176);Korea Institute for Advancement of Technology(KIAT)Grant funded by the Korea government(MOTIE)(P0012724);The Competency Development Program for Industry Specialist)and the Soonchunhyang University Research Fund.

摘　　要：In this article,multiple attribute decision-making problems are solved using the vague normal set(VNS).It is possible to generalize the vague set(VS)and q-rung fuzzy set(FS)into the q-rung vague set(VS).A log q-rung normal vague weighted averaging(log q-rung NVWA),a log q-rung normal vague weighted geometric(log q-rung NVWG),a log generalized q-rung normal vague weighted averaging(log Gq-rung NVWA),and a log generalized q-rungnormal vagueweightedgeometric(logGq-rungNVWG)operator are discussed in this article.Adescription is provided of the scoring function,accuracy function and operational laws of the log q-rung VS.The algorithms underlying these functions are also described.A numerical example is provided to extend the Euclidean distance and the Humming distance.Additionally,idempotency,boundedness,commutativity,and monotonicity of the log q-rung VS are examined as they facilitate recognizing the optimal alternative more quickly and help clarify conceptualization.We chose five anemia patients with four types of symptoms including seizures,emotional shock or hysteria,brain cause,and high fever,who had either retrograde amnesia,anterograde amnesia,transient global amnesia,post-traumatic amnesia,or infantile amnesia.Natural numbers q are used to express the results of the models.To demonstrate the effectiveness and accuracy of the models we are investigating,we compare several existing models with those that have been developed.

关 键 词：Vague set aggregating operators euclidean distance hamming distance decision making 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]