A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

This paper presents a novel approach for individual design perception modeling using the YUKI algorithm-trained Fuzzy Inference System. The study focuses on understanding how individuals perceive design based on personality traits, particularly openness to experience, using the YUKI algorithm and Fu...

書誌詳細
主要な著者:	Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2023-09-01
シリーズ:	Axioms
主題:	Fuzzy Inference System YUKI algorithm affective design response
オンライン･アクセス:	https://www.mdpi.com/2075-1680/12/10/904

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