Artificial Neural Network for Solving the Inventory Control Problem in Fuzzy Environments

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Author(s): Mostafijur Rahaman (Indian Institute of Engineering Science and Technology, Shibpur, India), Sankar Prasad Mondal (Maulana Abul Kalam Azad University of Technology, West Bengal, India)and Shariful Alam (Indian Institute of Engineering Science and Technology, Shibpur, India)
Copyright: 2021
Pages: 18
Source title: Artificial Neural Network Applications in Business and Engineering
Source Author(s)/Editor(s): Quang Hung Do (University of Transport Technology, Vietnam)
DOI: 10.4018/978-1-7998-3238-6.ch006

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference / Neural Networks

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Abstract

In this chapter, different inventory control problems are formulated in fuzzy environment and solved by artificial neural network. Due to present the non-linearity associated with the differential equation in fuzzy environment, the solution procedure may be very complicated. To avoid the situation, artificial neural networks play an important role. In this chapter, different inventory control problems are formulated in fuzzy environment and solved by artificial neural network. Due to present the non-linearity associated with the differential equation in fuzzy environment, the solution procedure may be very complicated. To avoid the situation, artificial neural networks play an important role.

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Artificial Neural Network for Solving the Inventory Control Problem in Fuzzy Environments

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