Evidence map›Paper›PMID 41326437›Full record

ArticleScientific reports2025

Decision support model for blockchain adoption using EDAS technique in the complex q-rung orthopair fuzzy structure.

Umar Ali, Junxiang Li, Usman Zulfiqar, Kamran B A Salam, Rifaqat Ali, Imran Siddique, Ihsanullah Saqib, Rana Muhammad Zulqarnain

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Umar AliBusiness School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Junxiang LiBusiness School, University of Shanghai for Science and Technology, Shanghai, 200093, China. lijx@usst.edu.cn.
Usman ZulfiqarDepartment of Business Administration, Lahore Leads University, Lahore, Pakistan.
Kamran B A SalamDepartment of Engineering, POWERCHINA SEPCO1, Shandong Electric Power Construction Co., Ltd, Lahore, 54000, Pakistan.
Rifaqat AliDepartment of Mathematics, Applied College in Mohayil Asir, King Khalid University, Abha, Saudi Arabia.
Imran SiddiqueDepartment of Mathematics, University of Sargodha, Sargodha, 40100, Pakistan.
Ihsanullah SaqibDepartment of Physics, Education Faculty, Nangarhar University, Jalalabad City, Jalalabad, 2601, Afghanistan. ihsanullah.saqib@nu.edu.af.
Rana Muhammad ZulqarnainDepartment of Mathematics, Saveetha School of Engineering, SIMATS Thandalam, Chennai, Tamil Nadu, 602105, India.

Funding

Deanship of Scientific Research, King Khalid University RGP 2/142/46
6 · The paper itself

Abstract

Blockchain technology (BCT) is dramatically altering industries by providing a decentralized, secure, and transparent system to trade without any intermediaries-promoting trust and automation in public and private networks. Managers and decision-makers need to apply multi-attribute group decision-making (MAGDM) processes under uncertainty in order to identify the factors that influence BCT adoption and its possible uses. This study presents a systematic approach to the identification and addressing of barriers preventing the implementation of BCT. First, we introduce a number of intricate aggregation processors based on complex q-rung orthopair fuzzy settings (Cq-ROFSs) for synthesizing the views of specialists. Moreover, we propose a set of interesting complex q-rung orthopair fuzzy Einstein geometric operators such as Cq-ROFEWG, Cq-ROFEOWG, and Cq-ROFEHG operators to enhance aggregation under uncertainty. Then, we describe an advanced EDAS-based decision-making process that meets MAGDM requirements, complete with an explanatory flowchart step-by-step. The proposed technique is used to review the BCT implementation over fourteen critical aspects, thus validating its practical application. Finally, both conventional models and the proposed framework performance comparison reveal the proposed framework can offer enhanced reliability and realistic insights for decision-makers.

Indexed as

Blockchain technologyComplex q-rung orthopair fuzzy setEDAS techniqueEinstein geometric operatorsMulti-attribute group decision-making

Identifiers

PMID41326437
PMCPMC12669690

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.