Decision modeling of the challenges to human–robot collaboration in industrial environment: a real world example of an emerging economy

Karuppiah, Koppiahraj; Sankaranarayanan, Bathrinath; Ali, Syed Mithun; Bhalaji, R. K. A.

doi:10.1007/s10696-022-09474-7

Flex Serv Manuf J

2022

DOI: 10.1007/s10696-022-09474-7

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Decision modeling of the challenges to human–robot collaboration in industrial environment: a real world example of an emerging economy

Koppiahraj Karuppiah

Bathrinath Sankaranarayanan

Syed Mithun Ali

et al.

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Cited by 4 publications

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Fermatean fuzzy sets and its extensions: a systematic literature review

Büyüközkan,

Uztürk,

Ilıcak

2024

Artif Intell Rev

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The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility in managing ambiguous information, recent research lacks a comprehensive analysis of key FFS areas, applications, research gaps, and outcomes. This study, conducted through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration of the FFS literature, reviewing 135 relevant articles. The documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, and extensions. Additionally, a thematic analysis, facilitated by the Bibliometrix tool, is presented to provide nuanced insights into future research directions and crucial areas within the literature. The study unveils valuable findings, including the integration of linguistic variables with interval-valued FFS, fostering robust environments for dynamic decision-making—a mere glimpse of the potential directions for future research. The gaps and future directions section further articulates recommendations, offering a structured foundation for researchers to enhance their understanding of FFS and chart future studies confidently.

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Fermatean fuzzy sets and its extensions: a systematic literature review

Büyüközkan,

Uztürk,

Ilıcak

2024

Artif Intell Rev

View full text Add to dashboard Cite

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Human-Robot collaboration in the next generation manufacturing and logistics system

Ponnambalam,

Chang,

Zhong

et al. 2023

Flex Serv Manuf J

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Simulation-based Digital Twin for enhancing human-robot collaboration in assembly systems

Cimino,

Longo,

Nicoletti

et al. 2024

Journal of Manufacturing Systems

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Decision modeling of the challenges to human–robot collaboration in industrial environment: a real world example of an emerging economy

Cited by 4 publications

References 53 publications

Fermatean fuzzy sets and its extensions: a systematic literature review

Fermatean fuzzy sets and its extensions: a systematic literature review

Human-Robot collaboration in the next generation manufacturing and logistics system

Simulation-based Digital Twin for enhancing human-robot collaboration in assembly systems

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