期刊论文详细信息
CAAI Transactions on Intelligence Technology
Multi-objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment
article
Totan Garai1  Harish Garg2 
[1] Department of Mathematics, Silda Chandra Sekhar College;School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University
关键词: decision making;    sensitivity analysis;    linear programming;    fuzzy set theory;    number theory;    possibility theory;    inventory management;    multiobjective linear fractional inventory model;    necessity constraints;    generalised intuitionistic fuzzy set environment;    multiobjective linear fractional inventory problem;    generalised trapezoidal intuitionistic fuzzy numbers;    equivalent deterministic linear fractional programming problem;    sensitivity analysis;    C1160 Combinatorial mathematics;    C1180 Optimisation techniques;    C1290F Systems theory applications in industry;    E0210E Combinatorial mathematics;    E0210G Optimisation;    E1010 Production management;    E1540 Systems theory applications;   
DOI  :  10.1049/trit.2019.0030
学科分类:数学(综合)
来源: Wiley
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【 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.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND   

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