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Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation
November/December 2001 (vol. 3 no. 6)
pp. 74-81
ASCII Text
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Andrea Clematis, Michela Spagnuolo, "Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation," Computing in Science and Engineering, vol. 3, no. 6, pp. 74-81, November/December, 2001.
 
 
BibTex
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@article{ 10.1109/5992.963431,
author = {Andrea Clematis and Michela Spagnuolo},
title = {Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation},
journal ={Computing in Science and Engineering},
volume = {3},
number = {6},
issn = {1521-9615},
year = {2001},
pages = {74-81},
doi = {http://doi.ieeecomputersociety.org/10.1109/5992.963431},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation
IS - 6
SN - 1521-9615
SP74
EP81
EPD - 74-81
A1 - Andrea Clematis,
A1 - Michela Spagnuolo,
PY - 2001
VL - 3
JA - Computing in Science and Engineering
ER -
 
There is a wide range of applications dealing with surfaces reconstructed from samples, which might benefit of tools for an explicit visualization of the model accuracy and data imprecision. Coupling fuzzy arithmetic with traditional geometric models is an interesting possibility, but it requires the solution of computational problems related to the use of fuzzy-based models. In this context, we present a load balanced algorithm for the efficient use of parallel computing for analysing surface models based on fuzzy numbers.
Citation:
Andrea Clematis, Michela Spagnuolo, "Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation," Computing in Science and Engineering, vol. 3, no. 6, pp. 74-81, Nov.-Dec. 2001, doi:10.1109/5992.963431
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