MATHEMATICAL PROGRAMMING PROBLEMS WITH SEVERAL FUZZY OBJECTIVE FUNCTIONS

被引:1
作者
Kalonda, Luhandjula Monga [1 ]
Joseph, Rangoaga Moeti [1 ]
机构
[1] Univ S Africa, Dept Decis Sci, ZA-0003 Unisa, South Africa
关键词
Multiobjective programming; fuzzy numbers; nearest interval approximation; OPTIMIZATION;
D O I
10.1142/S0218488513400047
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we propose an approach for multiobjective programming problems with fuzzy number coefficients. The main idea behind our approach is to approximate involved fuzzy numbers by their respective nearest interval approximation counterparts. An algorithm that returns a nearest interval approximation to a given fuzzy number, plays a pivotal role in the proposed method. Our approach contrasts markedly with those based on deffuzification operators which replace a fuzzy set by a single real number leading to a loss of many important information. A numerical example is also provided for the sake of illustration.
引用
收藏
页码:51 / 62
页数:12
相关论文
共 40 条
[1]  
[Anonymous], PROBABLISTIC PROGRAM
[2]  
[Anonymous], J UNCERTAIN SYSTEMS
[3]  
[Anonymous], EUR J OPER RES
[4]  
[Anonymous], T SOC INSTR CONTROL
[5]  
[Anonymous], THESIS U REGINA
[6]  
[Anonymous], APPL MATH MODELLING
[7]  
[Anonymous], 2009, Ann. Oper. Res.
[8]  
[Anonymous], IEEE T INTELLIGENT T
[9]  
Aubin J.P., 1990, SET VALUED ANAL, DOI 10.1007/978-0-8176-4848-0
[10]   A fuzzy mathematical programming approach for cross-sell optimization in retail banking [J].
Bhaskar, T. ;
Sundararajan, R. ;
Krishnan, P. G. .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2009, 60 (05) :717-727