Improved Fuzzy Control Algorithm for Colour Recommandation

The purpose of writing this paper is to find the optimized digital colour recommendation model based on the semantic colour synaesthesia annotation labels with digital HSV (Hue saturation and brightness value colour code) in a creative computing approach. The result of my research proposed a mathema...

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Bibliographic Details
Published in2023 28th International Conference on Automation and Computing (ICAC) pp. 1 - 6
Main Author Liu, Yinwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 30.08.2023
Subjects
Benchmark testing
Color
Computational modeling
Creative Computing
Digital Colour Model
Fuzzy control
Fuzzy Control Algorithm
Psychology
Semantics
Writing
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Summary:The purpose of writing this paper is to find the optimized digital colour recommendation model based on the semantic colour synaesthesia annotation labels with digital HSV (Hue saturation and brightness value colour code) in a creative computing approach. The result of my research proposed a mathematically simplified and logically optimized fuzzy model, the total colour recommendation plans for the interior design are 3403 different plans, which is higher than other benchmark fuzzy models can get. The problem of the previous study is not fit for solving colour recommendations, because it cannot get optimized results. This paper improves the part of the algorithm which was published in November 2022 on AIP Conference Proceedings [7]. This study transformed their model for better usage of colour recommendation. The approach of filling the problem gap stands by the creative computing field aspect, using transformational creativity to improve the benchmark algorithm to meet the specific usage of colour recommendation results. The finding model is for the digital screen for human interaction with computers because it's HSV based and grounded on the theory of Freud's-ego-superego theory and the psychologically logical theory of customized consumer behaviours.
DOI:10.1109/ICAC57885.2023.10275308