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...

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Hlavní autoři: Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-09-01
Edice:Axioms
Témata:
Fuzzy Inference System
YUKI algorithm
affective design response
On-line přístup:https://www.mdpi.com/2075-1680/12/10/904

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