Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function

被引：24
|
作者：
Kumar, Amit [1 ]
Kaur, Jagdeep [1 ]
机构：
[1] Thapar Univ, Sch Math & Comp Applicat, Patiala 147004, Punjab, India
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 26卷 / 01期
关键词：
Fully fuzzy linear programming problems; triangular fuzzy numbers; ranking function; ALGORITHM; NUMBERS;
D O I：
10.3233/IFS-120742
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, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming (FFLP) problems with mixed constraints. By using the proposed method the fuzzy optimal solution of FFLP problems with mixed constraints occurring in real life situations can be easily obtained. To illustrate the proposed method a numerical example is solved. The proposed method can be easily applied to find the fuzzy optimal solution of FFLP problems occurring in real life situations.
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页码：337 / 344
页数：8
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