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Hybrid Intelligence Framework in Fashion Design: Combining Generative AI With Fuzzy Logic
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Author(s): Alina A. Egorova (Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Russia)and Alexander P. Ryjov (Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Russia & Institute of Economics, Mathematics and Information Technologies, Russian Presidential Academy of National Economy and Public Administration, Russia)
Copyright: 2027
Pages: 37
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/408157
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Abstract
Generative artificial intelligence (Gen AI) holds significant potential in the field of innovative design creation, offering non-trivial solutions based on big data analysis. However, its ability to improve design variants incrementally is limited. Gen AI struggles to interpret spatial parameters and make precise modifications, such as changing shapes or adding specific details. These limitations reduce Gen AI's effectiveness in tasks requiring sequential refinement and improvement. The solution proposed in the article involves hybrid intelligence, combining AI's generative strengths with human creativity. The hybrid intelligence approach enhances the quality of generated solutions while maintaining fast variant creation. It allows consistent improvement through iterative modifications, aligning the designer's concept with AI suggestions. The article explores how this methodology can be applied in fields like architecture, industrial design, and engineering, where spatial precision and gradual refinement are crucial.
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