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Journal from gdlhub / 2017-08-21 10:38:47
Oleh : B. Radhakrishnan, P. Anukokila, Fuzzy Information and Engineering
Dibuat : 2014-08-21, dengan 1 file

Keyword : Solid transportation problemInterval numberFuzzy goal programmingFractional programming
Url : http://www.sciencedirect.com/science/journal/16168658/6/3?sdc=1
Sumber pengambilan dokumen : web

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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