碩士 / 國立臺灣科技大學 / 工業管理系 / 90 / The purpose of the dissertation is to apply the fuzzy sets theory to classical transportation problem. Transportation problem was classified two types. One is single objective fuzzy linear transportation problem (FLTP); the other is fuzzy linear multiobjective transportation problem (MOLTP). In FLTP, we construct an algorithm solves the transportation problem with fuzzy supply and demand values and the integrality condition imposed on the solution. In order to avoid the computational complexity, we take advantage the characteristic of the classical transportation problem that its coefficient of variables always remains “1”. In the algorithm, only requires solving several classical transportation problems. And the result is better than the Stefan’s.
In MOLTP, we use a fuzzy linear compromise programming approach. In order to improve the worst error of the non-compensatory aggregation operator “min”, we use an operator applied to replace the “min” operator. Our mathematical model has wider application than Bit et al. that we have turned Bit et al. solution into a special case of our solution.
| Identifer | oai:union.ndltd.org:TW/090NTUST041043 |
| Date | January 2002 |
| Creators | 林仁詮 |
| Contributors | , 徐松梅, 楊文鐸 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 79 |
Page generated in 0.0395 seconds