期刊
APPLIED MATHEMATICAL MODELLING
卷 36, 期 4, 页码 1421-1430出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2011.08.044
关键词
(lambda,rho) Interval-valued fuzzy number; Multi-objective transportation problem; Signed distance ranking
There are several methods in the literature for solving transportation problems by representing the parameters as normal fuzzy numbers. Chiang [J: Chiang, The optimal solution of the transportation problem with fuzzy demand and fuzzy product, J. Inform. Sci. Eng. 21 (2005) 439-451] pointed out that it is better to represent the parameters as (lambda,rho) interval-valued fuzzy numbers instead of normal fuzzy numbers and proposed a method to find the optimal solution of single objective transportation problems by representing the availability and demand as (lambda,rho) interval-valued fuzzy numbers. In this paper, the shortcomings of the existing method are pointed out and to overcome these shortcomings, a new method is proposed to find solution of a linear multi-objective transportation problem by representing all the parameters as (lambda,rho) interval-valued fuzzy numbers. To illustrate the proposed method a numerical example is solved. The advantages of the proposed method over existing method are also discussed. (C) 2011 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据