基于多准则决策的q阶矫形模糊集研究:系统文献综述

IF 4.3 3区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sinan Öztaş
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引用次数: 0

摘要

本研究在多准则决策(MCDM)方法的背景下,对q-Rung Orthopair Fuzzy (q-ROF)文献进行了深入的探讨。本研究包括四个部分,研究了基于q-ROFs的MCDM环境的研究。本文介绍了三个研究问题,旨在阐明q-ROFs在MCDM中的关键特征、挑战和应用领域。该研究采用了系统的方法,使用Web of Science、Scopus和谷歌Scholar等数据库进行了细致的文献综述。值得注意的是,本文分析了119项符合特定标准的研究,揭示了重要的趋势和模式。研究结果显示,自2020年以来,q-ROFs在MCDM中普遍存在,强调了它们的灵活性和多样化应用。研究总结了未来的研究方向,突出了最常用的加权和排名方法,并提出了尚未探索的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring q-rung Orthopair fuzzy sets based on multi criteria decision making: A systematic literature review
This study conducts an in-depth exploration of the q-Rung Orthopair Fuzzy (q-ROF) literature within the context of Multi Criteria Decision Making (MCDM) methods. Comprising four sections, the research investigates studies based on MCDM environments utilizing q-ROFs. The paper introduces three research questions aiming to elucidate the key characteristics, challenges, and application domains of q-ROFs in MCDM. The study employs a systematic approach, conducting a meticulous literature review using databases such as Web of Science, Scopus, and Google Scholar. Notably, 119 studies meeting specific criteria are analyzed, revealing significant trends and patterns. The findings showcase the prevalence of q-ROFs in MCDM since 2020, emphasizing their flexibility and diverse applications. The study concludes by offering insights for future research directions, highlighting the most utilized weighting and ranking methods and suggesting unexplored avenues.
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来源期刊
Egyptian Informatics Journal
Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research
CiteScore
11.10
自引率
1.90%
发文量
59
审稿时长
110 days
期刊介绍: The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.
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