Evidence map›Paper›PMID 41611880›Full record

ArticleScientific reports2026

An intelligent single valued neutrosophic MCDM framework for Business English language analysis curriculum planning and pedagogical support under uncertainty.

Chaofeng Ding, Rangcao Tang, Wen Ji

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chaofeng DingSchool of Foreign Languages, Pingdingshan University, Pingdingshan, 467000, China.
Rangcao TangSchool of Foreign Languages (School of International Education), Guilin University, Guilin, 541006, China. rangcaotang2021@163.com.
Wen JiSchool of Basic Education, Hefei Technology College, Hefei, 230088, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Business English communication is a fundamental issue in the success of organizations in the modern globalized business world. Nevertheless, the analysis and selection of the most suitable Business English training strategies involve various qualitative and unclear aspects, which are not always well-managed through traditional decision-making (DM) methods. In an effort to fill this gap, the present research paper proposes a Single-Valued Neutrosophic fuzzy set (SVNFS) Rangement Et Synthèse De Données Relationnelles (ORESTE) Qualitative Flexible Multiple Criteria Method (QUALIFLEX) framework to support the analysis and DM process of Business English as a language in its entirety. The framework combines the ranking-based ORESTE technique with the outranking-based QUALIFLEX technique within a SVN environment, allowing for more accurate modeling of indeterminacy and expert hesitation in the evaluation process. The suggested methodology is capable of systematizing expert opinions into a format, standardizing linguistic measurements into SVN values, and calculating the degrees of importance to generate objective values of alternatives.The practical usefulness of the framework is explained by a structured case-study of the design of best Business English training strategies, which is based on the carefully designed hypothetical data, which is rather similar to the evaluation circumstances that may take place in the real world.Its capacity to deal with expression, facilitate group decision making, and provide consistent and reasonable results are pointed out by the results. The new model in decision support offers educators, policymakers and business organizations with an effective tool to improve language training strategies in complex and uncertain situations.

Indexed as

Business English language analysisDecision supportORESTE methodQUALIFLEX methodSingle-valued neutrosophic set (SVNS)

Identifiers

PMID41611880
PMCPMC12914045

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