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dc.contributor.authorPandian, M. Vasant
dc.contributor.authorNagarajan, R.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.date.accessioned2013-11-15T03:45:49Z
dc.date.available2013-11-15T03:45:49Z
dc.date.issued2002-12
dc.identifier.citationJurnal Teknologi, vol. 37(D), 2002, pages 31–44en_US
dc.identifier.issn2180-3722
dc.identifier.urihttp://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/540/530
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/29831
dc.descriptionLink to publisher's homepage at http://www.penerbit.utm.my/en_US
dc.description.abstractThe modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In the first part of the paper, some explanations on tri partite fuzzy linear programming approach and its importance have been given. In the second part, the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mixed in various proportions by 9 different processes under 29 constraints. A solution to this problem establishes the usefulness of the suggested membership function for decision making in industrial production planning.en_US
dc.language.isoenen_US
dc.publisherPenerbit UTM Pressen_US
dc.subjectFuzzy linear programmingen_US
dc.subjectSatisfactory solutionen_US
dc.subjectDecision makeren_US
dc.subjectImplementeren_US
dc.subjectAnalysten_US
dc.subjectFuzzy constrainten_US
dc.subjectVaguenessen_US
dc.titleFuzzy linear programming: A modern tool for decision makingen_US
dc.typeArticleen_US
dc.contributor.urlpandian12@hotmail.comen_US
dc.contributor.urlnagaraja@ums.edu.myen_US


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