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dc.contributor.authorYeni Rokhayati-
dc.date.accessioned2012-09-02T01:50:06Z-
dc.date.available2012-09-02T01:50:06Z-
dc.date.issued2011-01-
dc.identifier.urihttp://hdl.handle.net/123456789/1898-
dc.description.abstractLinear 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.isoenen_US
dc.publisherFakulti Sains dan Teknologien_US
dc.subjectT 57.74 .Y4 2011en_US
dc.subjectYeni Rokhayatien_US
dc.subjectTesis FST 2011en_US
dc.subjectLinear programming -- Data processingen_US
dc.titleFuzzy linear programming with a-cut approachen_US
dc.typeThesisen_US
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