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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fuzzy Sets and Syste...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fuzzy Sets and Systems
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article
Data sources: DBLP
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Modeling aesthetic preferences: Color coordination and fuzzy sets

Authors: Pakizar Shamoi; Atsushi Inoue; Hiroharu Kawanaka;

Modeling aesthetic preferences: Color coordination and fuzzy sets

Abstract

Abstract We are exposed to various aesthetic experiences everyday. Important variables involved in aesthetics are preference and harmony. Preference for color schemes can be predicted by combining preferences for the basic colors and ratings of color harmony. We use FHSI color model, in which color channels distributions are expressed with fuzzy membership functions. Such phenomena, as preference and harmony, are usually approximate and thus categorizing and ordering them is a challenge. Using fuzzy linguistic variables and hedges, we offer a human-consistent classification of aesthetic judgements. The main output of the model is aesthetic judgement on a harmony and personal preference level, e.g. very high preference. For example, in the context of apparel coordination, it allows predicting a preference for a look based on clothing colors. According to experiments, the model results in useful predictions of ratings of aesthetic pleasantness. Aesthetic preference prediction has potential in a wide range of domains, including e-commerce, design, marketing, and art.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
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