4.7 Article

A new fuzzy multi-objective programming: Entropy based geometric programming and its application of transportation problems

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 173, 期 2, 页码 387-404

出版社

ELSEVIER
DOI: 10.1016/j.ejor.2005.01.050

关键词

multi-objective programming; transportation; entropy; generalized fuzzy number; geometric programming

向作者/读者索取更多资源

In this paper, we introduce a fuzzy mathematical programming with generalized fuzzy number as objective coefficients. We also examine a transportation problem with additional restriction. There is an additional entropy objective function in the transportation problem besides transportation cost objective function. Using new fuzzy mathematical programming, this multi-objective entropy transportation problem with generalized trapezoidal fuzzy number costs has been reduced to a primal geometric programming problem. Pareto optimal solution of the transportation model is found. Numerical examples have been provided to illustrate the problem. (c) 2005 Elsevier B.V. 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。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据