WITHDRAWN ARTICLE: Modelling based on fuzzy entropy for the perishable materials supply chain management

Developing a model with fuzzy entropy for perishable materials supply chain management aims to incorporate uncertainty considerations into the modeling process, enhancing the management of time-sensitive goods in the supply chain. Identify the key factors and uncertainties associated with perishable materials, such as quality deterioration, shelf life, temperature control, and demand fluctuations. Maintaining optimal conditions throughout handling, storage, and transportation is crucial to preventing spoiling. To overcome this issue a novel Fuzzy Analytical Hierarchy Process based Deep Neural Network (FAHPbDNN) is proposed. A novel approach, termed FAHPbDNN, is implemented to enhance the quality of materials within the supply chain and extend their shelf life. Furthermore, the system implementation is carried out within the Python framework of Form. Consequently, the outcome of the developed technique is compared with another method. Hence, the show of the proposed work can be improved, leading to higher accuracy.