期刊
FUZZY INFORMATION AND ENGINEERING
卷 6, 期 3, 页码 359-377出版社
TAYLOR & FRANCIS LTD
DOI: 10.1016/j.fiae.2014.12.006
关键词
Solid transportation problem; Interval number; Fuzzy goal programming; Fractional programming
资金
- Council of Scientific and Industrial Research (CSIR), INDIA [25(0232) /14 / EMR-II]
In this paper, we study a solid transportation problem with interval cost using fractional goal programming approach (FGP). In real life applications of the FGP problem with multiple objectives, it is difficult for the decision-maker(s) to determine the goal value of each objective precisely as the goal values are imprecise, vague, or uncertain. Therefore, a fuzzy goal programming model is developed for this purpose. The proposed model presents an application of fuzzy goal programming to the solid transportation problem. Also, we use a special type of non-linear (hyperbolic) membership functions to solve multi-objective transportation problem. It gives an optimal compromise solution. The proposed model is illustrated by using an example.
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