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Genetic fuzzy modeling of user perception of three-dimensional shapes

Published online by Cambridge University Press:  07 February 2011

Sofiane Achiche  and
Saeema Ahmed-Kristensen
Sofiane Achiche
Affiliation:
Management Engineering Department, Engineering Design and Product Development Section, Technical University of Denmark, Lyngby, Denmark
Saeema Ahmed-Kristensen
Affiliation:
Management Engineering Department, Engineering Design and Product Development Section, Technical University of Denmark, Lyngby, Denmark
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Abstract

Defining the aesthetic and emotional value of a product is an important consideration for its design. Furthermore, if several designers are faced with the task of creating an object that describes a certain emotion/perception (aggressive, soft, heavy, etc.), each is most likely to interpret the emotion/perception with different shapes composed of a set of different geometric features. The authors propose an automatic approach to formalize the relationships between geometric information of three-dimensional objects and the intended emotional content using fuzzy logic. In addition, the automatically generated fuzzy knowledge base was compared to the user's perceptions and to the manually constructed fuzzy knowledge base. The initial findings indicate that the approach is valid to formalize geometric information with perceptions and validate the author's manually developed fuzzy models.

Keywords

AestheticsAutomatic OptimizationDesign CharacteristicsEmotional DesignFuzzy LogicGenetic Algorithms
Type
Articles
Information
AI EDAM , Volume 25 , Issue 1 , February 2011 , pp. 93 - 107
Copyright
Copyright © Cambridge University Press 2011

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