Method for solving fully fuzzy linear programming problems using deviation degree measure

被引：0
|
作者：
Haifang Cheng [1 ]
Weilai Huang [1 ]
Jianhu Cai [2 ]
机构：
[1] School of Management, Huazhong University of Science and Technology
[2] College of Economics and Management, Zhejiang University of Technology
来源：
JournalofSystemsEngineeringandElectronics | 2013年 / 24卷 / 05期
基金：
中国国家自然科学基金;
关键词：
fully fuzzy linear programming(FFLP); fuzzy equality constraint; triangular fuzzy number; deviation degree;
D O I：
暂无
中图分类号：
O221.1 [线性规划];
学科分类号：
摘要：
A new fully fuzzy linear programming(FFLP)problem with fuzzy equality constraints is discussed.Using deviation degree measures,the FFLP problem is transformed into a crispδ-parametric linear programming(LP)problem.Giving the value of deviation degree in each constraint,theδ-fuzzy optimal solution of the FFLP problem can be obtained by solving this LP problem.An algorithm is also proposed to find a balance-fuzzy optimal solution between two goals in conflict:to improve the values of the objective function and to decrease the values of the deviation degrees.A numerical example is solved to illustrate the proposed method.
引用
收藏
页码：793 / 799
页数：7
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