A Fuzzy Shape Specification System to Support Design for Aesthetics
Pham, Binh L. & Zhang, Jinglan (2001) A Fuzzy Shape Specification System to Support Design for Aesthetics. In Reznik, L. (Ed.) Soft Computing in Measurement and Information Acquisition. Springer, pp. 204-252.
|PDF (193kB) |
A shape specification system based on fuzzy logic is proposed, which aims to facilitate designers in conceptual design stage by allowing them to specify and work with rough models in a more intuitive fashion. The system uses a 3D object representation called 'parametric geons' which provide both qualitative and quantitative descriptions, in addition to global shape constraints, via eight shape parameters. Shape descriptors and aesthetic descriptors are introduced and their fuzzy membership functions are constructed using results from subjective experiments on shape descriptions. Inference rules are then devised to link these descriptors with shape parameters. The system which models after designers' behaviour, allows designers' own aesthetic terms and interpretation of shapes to be added, and a library of successful designs with appropriate fuzzy descriptions to be constructed for later use.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Book Chapter|
|Additional Information:||For more information about this book please refer to the publisher's website (see link) or contact the author . Author contact details : b.pham @qut.edu.au|
|Keywords:||fuzzy logic, conceptual design, shape specification, aesthetics|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2001 Springer|
|Deposited On:||10 Feb 2006|
|Last Modified:||09 Jun 2010 22:26|
Repository Staff Only: item control page