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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeni Rokhayati | - |
dc.date.accessioned | 2012-09-02T01:50:06Z | - |
dc.date.available | 2012-09-02T01:50:06Z | - |
dc.date.issued | 2011-01 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1898 | - |
dc.description.abstract | Linear programming has been used to solve optimization problems in many industries. In most of the problems, the decision maker chooses to state the inequalities and coefficients that are used in objective function and constraints by vague expressions. Based on the fuzzy sets theory, fuzzy linear programming is developed to model and solve the problems. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Fakulti Sains dan Teknologi | en_US |
dc.subject | T 57.74 .Y4 2011 | en_US |
dc.subject | Yeni Rokhayati | en_US |
dc.subject | Tesis FST 2011 | en_US |
dc.subject | Linear programming -- Data processing | en_US |
dc.title | Fuzzy linear programming with a-cut approach | 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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T 57.74 .Y4 2011 Abstract.pdf | 272.75 kB | Adobe PDF | View/Open | |
T 57.74 .Y4 2011 FullText.pdf Restricted Access | 2.11 MB | Adobe PDF | View/Open Request a copy |
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