ArticlePloS one2025
RETRACTED: Prioritizing robots in intelligent manufacturing using q-rung orthopair fuzzy decision-making method and unknown weight information.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
- Retraction · 2026-06-23Concerns/Issues about Article · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Results and/or Conclusions ·
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid evolution of intelligent manufacturing systems necessitates the integration of advanced robotics to meet increasing demands for productivity, precision, and adaptability. Robots play an indispensable role across a spectrum of operations, from assembly to inspection, directly influencing the efficiency and effectiveness of modern manufacturing environments. Addressing the critical need for enhanced decision-making in technological investments, this study evaluates and ranks various types of robots using an integrated decision-making framework. Utilizing the q-rung orthopair fuzzy set (qROFS) to manage uncertain and subjective expert evaluations, this paper combines entropy and similarity measures to determine expert weight coefficients, reflecting the certainty and support degrees of their opinions. Criteria weights are derived using the full consistency method (FUCOM) for subjective weighting and the criteria importance through intercriteria correlation (CRITIC) method for objective weighting. The comprehensive rankings of the robots are then established using the combined compromise for ideal solution (CoCoFISo) method. A practical case study demonstrates the application of the proposed method. Results from the case study indicate that robots for machine tending rank as the most influential, followed by inspection, assembly, welding, and material handling and packaging robots, showcasing their pivotal roles in enhancing manufacturing productivity and safety. This study not only presents a methodological advancement in handling expert uncertainty but also offers actionable insights for integrating robotic technologies in intelligent manufacturing systems, thereby supporting strategic decision-making and operational optimization.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.