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Neural Computing and Applications

A decision support model based on q-rung orthopair fuzzy number for glove design application

  • 16-03-2022
  • Original Article
Published in:
Authors
Ömer Faruk Efe
Burak Efe
Published in
Neural Computing and Applications | Issue 15/2022

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Abstract

The article introduces a decision support model based on q-rung orthopair fuzzy numbers for glove design applications, focusing on ergonomics and anthropometry. It discusses the significance of ergonomics in adapting work to human capabilities and the role of anthropometry in measuring human body dimensions. The study integrates q-rung orthopair fuzzy numbers with the QFD method and VIKOR approach to rank criteria for anthropometric glove design, offering a novel method for glove manufacturers to improve product design. The model allows experts to provide more detailed evaluations, ensuring a comprehensive analysis of glove design factors. The article highlights the advantages of using q-rung orthopair fuzzy numbers over traditional fuzzy numbers, such as providing more general data and flexibility in evaluations. The results show the importance of criteria like ease of hand motion perception and comfort perception in glove design. The study concludes by emphasizing the importance of ergonomics in enhancing human-machine interaction and the potential of the proposed model for future applications in various industries.
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Title
A decision support model based on q-rung orthopair fuzzy number for glove design application
Authors
Ömer Faruk Efe
Burak Efe
Publication date
16-03-2022
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 15/2022
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-022-07118-3
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