A Systematic Review on the Advancement in the Study of Fuzzy Variational Problems
Author(s) -
Mansi Verma,
Chuei Yee Chen,
Adem Kılıçman,
Risman Mat Hasim
Publication year - 2022
Publication title -
journal of function spaces
Language(s) - English
Resource type - Journals
eISSN - 2314-8896
pISSN - 2314-8888
DOI - 10.1155/2022/8037562
Subject(s) - fuzzy logic , variational analysis , mathematics , differentiable function , calculus of variations , mathematical optimization , variational integrator , euler–lagrange equation , computer science , artificial intelligence , lagrangian , mathematical analysis , computer network , bandwidth (computing) , integrator
The study of fuzzy variational problems has received significant attention over the past decade due to its successful applications in numerous fields, such as image segmentation and optimal control theory. The fuzzy Euler-Lagrange equations provide the necessary optimality conditions for solving fuzzy variational problems explicitly and have been studied under several differentiability conditions. In this paper, we provide a systematic review to recap the history of variational principle in the calculus of variations and compare it with the existing techniques in the fuzzy setting. We begin with the preliminary concepts and definitions of fuzzy theory and scrutinize the Euler-Lagrange’s strategy via systematically searched studies concerning fuzzy variational problems to highlight the importance of improving the existing methods. Finally, we set up the main open problems regarding the limitations of the current approaches, shedding light on future directions.
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