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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	MDPI AG 2023-09-01
Saila:	Axioms
Gaiak:	Fuzzy Inference System YUKI algorithm affective design response
Sarrera elektronikoa:	https://www.mdpi.com/2075-1680/12/10/904

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