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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Noor'ani Hj. Ahmad | - |
dc.date.accessioned | 2013-06-12T02:13:20Z | - |
dc.date.available | 2013-06-12T02:13:20Z | - |
dc.date.issued | 2012-08 | - |
dc.identifier.uri | http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/2446 | - |
dc.description.abstract | Uncertainty and vagueness occur in many real life problems. Uncertainty may exist in the experimental process, data collection and process measurement. The uncertainty information can be modelled and formulated into fuzzy funtions. Therefore fuzzy set theory is incorporated to overcome this problem | en_US |
dc.language.iso | en | en_US |
dc.publisher | Terengganu: Universiti Malaysia Terengganu | en_US |
dc.subject | QA 241 .N6 2012 | en_US |
dc.subject | Noor'ani Hj. Ahmad | en_US |
dc.subject | Tesis FST 2012 | en_US |
dc.subject | Polynomials -- Data processing | en_US |
dc.title | Numerical method for solving fuzzy polynomials and fuzzy differential equations | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Fakulti Sains dan Teknologi |
Files in This Item:
File | Description | Size | Format | |
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QA 241 .N6 2012 Abstract.pdf | 938.18 kB | Adobe PDF | View/Open | |
QA 241 .N6 2012 FullText.pdf Restricted Access | 13.78 MB | Adobe PDF | View/Open Request a copy |
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