The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach
In this thesis determine the spatial weights matrix of Generalized-STAR models using fuzzy sets concept approach.The spatial weight was mostly formulated based on the distance closeness of the observed locations, but the fuzzy approach provides a different point of view. Fuzzy spatial weight matr...
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id-itb.:339372019-01-31T10:42:06ZThe Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach Ferdiansyah Nugraha, Rida Matematika Indonesia Theses fuzzy set, space-time model, weight matrix, spatial influence, residual. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/33937 In this thesis determine the spatial weights matrix of Generalized-STAR models using fuzzy sets concept approach.The spatial weight was mostly formulated based on the distance closeness of the observed locations, but the fuzzy approach provides a different point of view. Fuzzy spatial weight matrix was built based on the value of observation data, so the spatial locations whose observations in the same values possible have equal influences (weight) for each other. We expected that by using this method the heterogeneity of the spatial influences will be better accommodated. By doing some simulations, we compared the binary, gaussian, and fuzzy spatial weight influences on the residuals sum of squares. We observed that the fuzzy weight gives smaller values than the binary spatial weight. In case study, the concept of fuzzy weight matrix can be applied either. The resulting models can follow the pattern of the actual data although still can not reach the extreme values. text |
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Matematika Ferdiansyah Nugraha, Rida The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
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In this thesis determine the spatial weights matrix of Generalized-STAR models
using fuzzy sets concept approach.The spatial weight was mostly formulated based
on the distance closeness of the observed locations, but the fuzzy approach provides
a different point of view. Fuzzy spatial weight matrix was built based on the value
of observation data, so the spatial locations whose observations in the same values
possible have equal influences (weight) for each other. We expected that by using
this method the heterogeneity of the spatial influences will be better accommodated.
By doing some simulations, we compared the binary, gaussian, and fuzzy spatial
weight influences on the residuals sum of squares. We observed that the fuzzy
weight gives smaller values than the binary spatial weight. In case study, the concept
of fuzzy weight matrix can be applied either. The resulting models can follow the
pattern of the actual data although still can not reach the extreme values. |
format |
Theses |
author |
Ferdiansyah Nugraha, Rida |
author_facet |
Ferdiansyah Nugraha, Rida |
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Ferdiansyah Nugraha, Rida |
title |
The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
title_short |
The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
title_full |
The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
title_fullStr |
The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
title_full_unstemmed |
The Study of SpatialWeight Matrix in Space-Time Modeling Through Fuzzy Sets Approach |
title_sort |
study of spatialweight matrix in space-time modeling through fuzzy sets approach |
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https://digilib.itb.ac.id/gdl/view/33937 |
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