Evidence map›Paper›PMID 41981111›Full record

ArticleScientific reports2026

A novel generalized orthopair fuzzy CURLI MCDM framework for smart art communication integrating emotional intelligence.

Chengao Bao

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Chengao BaoSchool of Automation, China University of Geosciences, Wuhan, 430072, China. ChengaoBao1@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capacity to identify, adjust to, and interact with human emotions has become a crucial component of effective art communication in digital and interactive environments. Measuring smart art communication through an Emotional Intelligence (EI) lens is not easy since human emotional reactions are unpredictable, biased, inexplicable, and hard to measure. To overcome this problem, this paper suggests a q-Rung Orthopair Fuzzy Collaborative Unbiased Rank List Integration (qROF-CURLI) multicriteria decision-making (MCDM) model where uncertainty in expert judgments is modelled by a q-rung orthopair fuzzy set (qROFS) and the CURLI mechanism combines the rankings of individuals to produce a final and unbiased overall ranking. Expert linguistic assessments are converted into qROF numbers and aggregated to construct the decision matrix, after which the CURLI procedure produces the final ranking of alternatives. The applicability of the proposed framework is demonstrated through a decision-making case study related to smart digital art communication platforms, involving fifteen alternatives evaluated across nine criteria by four decision-makers. The criteria of benefits include Emotional Recognition Capability, Emotional Adaptability, Audience Engagement, Empathy Enhancement, Technological Integration, and Cultural Relevance, whereas the costs criteria include Implementation Cost, Technical Complexity, and Ethical Risk. According to the results, the gamified and AI-adaptive communication platforms receive the best rankings. The sensitivity analysis and benchmarking on the existing qROF-MCDM approaches prove the stability and reliability of the model. The suggested framework offers a usable support to assess emotionally intelligent digital art communication systems and offers a unique combination of CURLI rank aggregation with the MCDM using qROF in order to enhance the reliability of collective decisions that are made under uncertainty.

Indexed as

Artificial intelligence in artsCURLI MCDM methodEmotional intelligenceQ-rung orthopair fuzzy setsSmart art communicationUncertainty modeling

Identifiers

PMID41981111
PMCPMC13237012

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.