Pembentukan permukaan kabur SplinB jenis-2 normal bagi model topografi dasar tasik
Process of data colledion are usually implemented in most researches and accurate data is very important for a research. This is because the accurate data colledion can provide excellent results for a research. However, the problem of uncertainty in a data can occur due to several fadors that intetf...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/25204/1/Pembentukan%20permukaan%20kabur%20Splin%C2%ADB%20jenis-2%20normal%20bagi%20model%20topografi%20dasar%20tasik.pdf |
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| Summary: | Process of data colledion are usually implemented in most researches and accurate data is very important for a research. This is because the accurate data colledion can provide excellent results for a research. However, the problem of uncertainty in a data can occur due to several fadors that intetfere the process of data collection that is being carried out The data colleded may also be classified as complex uncertainty data as duplication of the fadors causing the uncertainty to occur. Complex uncertainty means uncertainty based on two or more physical sets of data sets. Therefore, the need for a theory in defining complex uncertainty problem sets is very important in order to make the data set assessable. So, the Type-2 Fuzzy Set Theory (TSKJ2) is used to derived complex uncertainty sets to Type-2 Fuzzy Data Points (TDKJ2). This can also be done with the use of the Type-2 Fuzzy Number (NKJ2) definition in the form of triangle fuzzy number that also make the NKJ2 interval. For this study, TDKJ2 sets are defined in the normal form. The TDKJ2 model is done by using the fundion of the produd of 8-spline sutface. Firstly, this fundion is defined in the form of type-2 fuzzy 8-spline sutface fundions. Then, this fundion is adjusted with the TDKJ2 set to make the Type-2 Fuzzy 8-spline Sutface (PsBKJ2} in its normal form. To adapt the PsBKJ2 modei the lakebed topography model for Tasik Kenyir can be implemented. This is because the the lakebed topography model for Tasik Kenyir data sets have complex uncertainty elements when there is an erroroverlay stack when this data set is recorded. Therefore, to obtain a complete the lakebed topography model for Tasik Kenyir projedion, a complex uncertainty set for the lakebed topography model for Tasik Kenyir is needed to undergo analysis and data processing in the form of sutface can be done petfedly and more detailed. In addition, processes involving the fuzzification, type-redudion and defuzzification processes are implemented to obtain the final findings of a single the lakebed topography model for Tasik Kenyir sutface model. The effediveness of the formulation of the the lakebed topography model for Tasik Kenyir sutface model is proven when the errors obtained are small and the models used in this study are able to model complex uncertainties in a set of data. |
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