Fuzzy interpolation curve modelling of earthquake magnitude data
This research discussed on developing the fuzzy interpolation curve model which only used spline and B-spline functions in designing curve interpolation. The development of this model is used fuzzy set theory and more specifically fuzzy number concepts since the modeling problem is focused on...
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| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
IOP Publishing Ltd
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/41679/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41679/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/41679/ https://www.researchgate.net/publication/365723099_Fuzzy_Interpolation_Curve_Modelling_of_Earthquake_Magnitude_Data |
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| Summary: | This research discussed on developing the fuzzy interpolation curve
model which only used spline and B-spline functions in designing curve
interpolation. The development of this model is used fuzzy set theory and more
specifically fuzzy number concepts since the modeling problem is focused on
modeling data. These data are known as uncertainty data and defined through
fuzzy numbers which the properties of these data set belong to fuzzy numbers.
There are also several steps to be implemented to obtain the crisp fuzzy model
of crisp fuzzy data. These steps include fuzzification and defuzzification. For
the fuzzification process which used alpha-cut triangular fuzzy numbers, an
enhancement is also applied in process of determining the value of alpha based
on the fuzzy data in triangular form. A numerical example is implemented to
show the fuzzy interpolation curve modeling in which earthquake magnitude
data are selected. |
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