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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-09-01
Sarja:Axioms
Aiheet:
Fuzzy Inference System
YUKI algorithm
affective design response
Linkit:https://www.mdpi.com/2075-1680/12/10/904

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