ArticleScientific reports2025
Extended PROMETHEE method with (p,q)-rung linear Diophantine fuzzy sets for robot selection problem.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A soft computing TOPSIS framework with fractional orthopair fuzzy sine aggregation for robust model evaluation in data science.Scientific reports · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The introduction of (p, q)-rung linear Diophantine fuzzy set into the field of fuzzy set theory is a significant advancement, providing a broader perspective to address complicated decision-making scenarios. Alongside, the preference ranking organization method for enrichment of evaluation (PROMETHEE) emerges as a widely recognized tool for tackling multi-criteria decision-making challenges. This study contributes theoretically to the decision-making field by integrating (p, q)-rung linear Diophantine fuzzy sets into the PROMETHEE framework, improving (p, q)-rung linear Diophantine fuzzy sets adaptability and efficiency in practical aspects, the proposed framework can effectively address various intricate decision-making challenges encountered in real-world scenarios. This enhancement enables the (p, q)-rung linear Diophantine fuzzy sets to be more capable of handling a wide range of complex problems that arise in practical situations, making it a valuable tool for decision-makers looking to tackle real-life issues with precision and reliability. By illustrating the application of this extended method in the context of robot selection problem, the study showcases the practical utility and relevance of the proposed method. Furthermore, a comprehensive evaluation and discussion of the proposed PROMETHEE method is presented, emphasizing its validity, sensitivity, superiority, robustness, and adaptability in addressing real-world decision-making complexities.
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Registered trials
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.