Fuzzy solid modelling
Pham, Binh L. (2002) Fuzzy solid modelling. In Tools and Methods of Competitive Engineering (TCME 2002), April 22-26, Wuhan, Hubei, China.
Exact low level geometric representations in current CAD systems cannot reflect design intents at conceptual stage and using such representation for model construction is very time consuming and not intuitive. This paper presents a unified approach for imprecise solid modelling based on fuzzy logic which allows users to specify their vague design intents to obtain a rough shape representation and to perform important tasks on this rough model while retaining its fuzzy characteristics. These tasks range from fuzzy shape specification, representation, indexing, retrieval to shape evolution and comparison using fuzzy fitness and similarity measures. They are achieved via fuzzy reasoning and fuzzy operations on fuzzy geometric entities. We also discuss how fuzzy reasoning can be used in composite shape construction and configuration design. These methods have been realised for geometric entities based on deformable superquadrics. Ongoing work is being carried out to extend these concepts to generic geometric primitives and to integrate fuzzy design constraints to two design paradigms: fuzzy parametric and fuzzy feature-based design.
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.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Additional Information:||The paper is reproduced here with permission. Copyright is owned by TMCE Symposium. For more information about the TMCE Symposium, see the Symposium website: http://www.tmce-symposium.org/ (link above) To order a copy of the TMCE 2002 proceedings, email email@example.com for details.|
|Keywords:||Fuzzy shape, fuzzy solid modelling, imprecise modelling, vague modelling, fuzzy shape index and retrieval, evolution of fuzzy shape, fuzzy fitness measure, fuzzy similarity measure|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2002 TMCE Symposium|
|Deposited On:||05 Jan 2005|
|Last Modified:||02 Feb 2012 19:44|
Repository Staff Only: item control page