A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers

被引:11
|
作者
Ghoushchi, Saeid Jafarzadeh [1 ]
Osgooei, Elnaz [2 ]
Haseli, Gholamreza [3 ]
Tomaskova, Hana [4 ]
机构
[1] Urmia Univ Technol, Fac Ind Engn, Orumiyeh 57166, Iran
[2] Urmia Univ Technol, Fac Sci, Orumiyeh 57166, Iran
[3] Shiraz Univ, Fac Econ Management & Social Sci, Dept Management, Shiraz 71345, Iran
[4] Univ Hradec Kralove, Fac Informat & Management, Hradec Kralove 50006, Czech Republic
关键词
modified triangular fuzzy numbers; fuzzy decision variables; fully fuzzy linear programming; alpha-cut theory;
D O I
10.3390/math9222937
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. Likewise, the present study examines a new approach to solve FFLP issues through fuzzy decision parameters and variables using triangular fuzzy numbers. The strategy, which is based on alpha-cut theory and modified triangular fuzzy numbers, is suggested to obtain the optimal fully fuzzy solution for real-world problems. In this method, the problem is considered as a fully fuzzy problem and then is solved by applying the new definition presented for the triangular fuzzy number to optimize decision variables and the objective function. Several numerical examples are solved to illustrate the above method.
引用
收藏
页数:13
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