Genetic Fuzzy Modelling of User Perception of 3D Shapes

Sofiane Achiche, Saeema Ahmed-Kristensen

    Research output: Contribution to journalJournal articleResearchpeer-review


    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 describe 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. In this paper, the authors propose an automatic approach to formalize the relationships between geometric information of 3D 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 indeed valid to formalize geometric information with perceptions and validate the author’s manually developed fuzzy models.
    Original languageEnglish
    JournalArtificial Intelligence for Engineering Design, Analysis and Manufacturing
    Issue number25
    Pages (from-to)93-107
    Publication statusPublished - 2011


    • fuzzy logic
    • design characteristics
    • automatic optimization
    • genetic algorithms
    • emotional design
    • Aesthetics

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