Multi-objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment

被引:26
|
作者
Garai, Totan [1 ]
Garg, Harish [2 ]
机构
[1] Silda Chandra Sekhar Coll, Dept Math, Jhargram 721515, W Bengal, India
[2] Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India
关键词
EXPECTED VALUE; PROGRAMMING APPROACH; GA ALGORITHM; OPTIMIZATION; RELIABILITY; VARIANCE;
D O I
10.1049/trit.2019.0030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study presented a multi-objective linear fractional inventory (LFI) problem with generalised intuitionistic fuzzy numbers. In modelling, the authors have assumed the ambiances where generalised trapezoidal intuitionistic fuzzy numbers (GTIFNs) used to handle the uncertain information in the data. Then, the given multi- objective generalised intuitionistic fuzzy LFI model was transformed into its equivalent deterministic linear fractional programming problem by employing the possibility and necessity measures. Finally, the applicability of the model is demonstrated with a numerical example and the sensitivity analysis under several parameters is investigated to explore the study.
引用
收藏
页码:175 / 181
页数:7
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