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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi
Format: Artykuł
Język:English
Wydane: MDPI AG 2023-09-01
Seria:Axioms
Hasła przedmiotowe:
Fuzzy Inference System
YUKI algorithm
affective design response
Dostęp online:https://www.mdpi.com/2075-1680/12/10/904

Internet

https://www.mdpi.com/2075-1680/12/10/904

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