Analyzing Fuzzy Surface Modeling Using Load-Balanced Computation

Authors:
Andrea Clematis;Michela Spagnuolo
Affiliations:
-;-
Venue:
Computing in Science and Engineering
Year:
2001

Citing 2
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Abstract

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.