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Probing language identity encoded in pre-trained multilingual models: a typological view
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In: PeerJ Comput Sci (2022)
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Multi-indicators decision for product design solutions: a TOPSIS-MOGA integrated model
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Abstract:
Design decisions occur in all phases of product design and largely affect the merits of the final solution, which will ultimately determine the success or failure of the product in the market. Product design is a continuous process, and a large number of existing studies have proposed decision methods and decision indicators for the characteristics of different stages of design. These methods and indicators can meet the requirements of one of the phases: demand analysis, conceptual design, or detailed design. However, further research can still be conducted on the integration of methods throughout the design phase, using intelligent design methods, and improving the design continuity and efficiency. To address this problem, a TOPSIS-MOGA-based multi-indicators decision model for product design solutions is proposed, including its product design process, decision algorithm, and selection method. First, a TOPSIS-MOGA integrated model for conceptual design and detailed design process is established, the continuity of decision-making methods is achieved by integrating decision indicators. Second, conceptual design solutions are selected through the technique for order of preference by similarity to ideal solution (TOPSIS), based on hesitant fuzzy linguistic term sets and entropy weight method. Finally, detailed design solutions are selected through a multiobjective genetic algorithm (MOGA), based on a polynomial-based response surface model and central combination experimental design method. A case study of the decision-making in the design of high-voltage electric power fittings is presented, the conceptual design phase and the detailed design phase are connected through the indicators, which demonstrates that the proposed approach is helpful in the decision-making of the product design solutions.
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URL: https://orca.cardiff.ac.uk/147084/ https://doi.org/10.3390/pr10020303 https://orca.cardiff.ac.uk/147084/1/processes-10-00303.pdf
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A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling
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Additional file 4 of Social calls influence the foraging behavior in wild big-footed myotis ...
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Additional file 4 of Social calls influence the foraging behavior in wild big-footed myotis ...
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Social calls influence the foraging behavior in wild big-footed myotis ...
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Social calls influence the foraging behavior in wild big-footed myotis ...
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Nursing resources and patient outcomes in intensive care units: A protocol for systematic review and meta-analysis
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In: Medicine (Baltimore) (2021)
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Social calls influence the foraging behavior in wild big-footed myotis
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In: Front Zool (2021)
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Cross-linguistic influence of L2 on L1 in late Chinese-English bilinguals : the case of subject realisation
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A graph convolutional network-based sensitive information detection algorithm
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In: Test Series for Scopus Harvesting 2021 (2021)
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SPEAKING THE UNSPOKEN AND UNSPEAKABLE: LIVING WITH THE AFTERMATH OF SIBLING ABORTION UNDER CHINA'S ONE-CHILD POLICY
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Liu, Ying. - : European Network Qualitative Inquiry, 2020
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L2 Influence on L1 : Chinese subject realisation in Chinese-English bilinguals
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Comparing context-dependent call sequences employing machine learning methods: an indication of syntactic structure of greater horseshoe bats
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A Context Free Gramma for Key Noun-Phrase Extraction from Text
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Representation of Deep Features using Radiologist defined Semantic Features
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A Comparative Study of Sino-U.S. Business Negotiation Strategy From the Perspective of Cultural Dimensions Theory
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In: Cross-Cultural Communication; Vol 14, No 4 (2018): Cross-Cultural Communication; 1-11 ; 1923-6700 ; 1712-8358 (2018)
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