| dc.contributor.author | Pandian, M. Vasant | |
| dc.contributor.author | Nagarajan, R. | |
| dc.contributor.author | Sazali, Yaacob, Prof. Dr. | |
| dc.date.accessioned | 2013-11-15T03:45:49Z | |
| dc.date.available | 2013-11-15T03:45:49Z | |
| dc.date.issued | 2002-12 | |
| dc.identifier.citation | Jurnal Teknologi, vol. 37(D), 2002, pages 31–44 | en_US |
| dc.identifier.issn | 2180-3722 | |
| dc.identifier.uri | http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/540/530 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/29831 | |
| dc.description | Link to publisher's homepage at http://www.penerbit.utm.my/ | en_US |
| dc.description.abstract | The 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.iso | en | en_US |
| dc.publisher | Penerbit UTM Press | en_US |
| dc.subject | Fuzzy linear programming | en_US |
| dc.subject | Satisfactory solution | en_US |
| dc.subject | Decision maker | en_US |
| dc.subject | Implementer | en_US |
| dc.subject | Analyst | en_US |
| dc.subject | Fuzzy constraint | en_US |
| dc.subject | Vagueness | en_US |
| dc.title | Fuzzy linear programming: A modern tool for decision making | en_US |
| dc.type | Article | en_US |
| dc.contributor.url | pandian12@hotmail.com | en_US |
| dc.contributor.url | nagaraja@ums.edu.my | en_US |
