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作者机构:Serbian Acad Arts & Sci Math Inst Belgrade 11001 Serbia Univ Belgrade Fac Org Sci Belgrade 11000 Serbia
出 版 物:《APPLIED MATHEMATICAL MODELLING》 (应用数学模型)
年 卷 期:2013年第37卷第10-11期
页 面:7086-7093页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学] 0801[工学-力学(可授工学、理学学位)]
基 金:Ministry of Education and Science Republic of Serbia [TR36006 TR32013]
主 题:Multi-objective programming Linear fractional programming Efficient solution Fuzzy approach
摘 要:The solution concept in multi-objective programming is represented by a program which reaches the best compromise. Many solving methods find a good compromise feasible solution and then check whether the solution is efficient or not. In this paper, using the efficiency test introduced by Lotfi et al. (2010) [12], we propose two procedures for deriving weakly and strongly efficient solutions in multi-objective linear fractional programming problems (MOLFPP) starting from any feasible solution, and present their possible applications in multiple criteria decision-making process. Then, we discuss a shortcoming of some fuzzy approaches to solving MOLFPP and modify them in order to guarantee the efficiency of the optimal solution. (C) 2013 Elsevier Inc. All rights reserved.