A Dynamic Type-1 Fuzzy Logic System for the Development of a New Warehouse Assessment Scheme

• Main Authors: Wafa' H. Alalaween, Abdallah H. Alalawin, Mahdi Mahfouf, Omar H. Abdallah
• Format: Article
• Language: English
• Published: IEEE 2021-01-01
• Series: IEEE Access
• Subjects: Audit checklist; dynamic Type-1 fuzzy logic system; NICE classification; warehouse assessment scheme
• Online Access: https://ieeexplore.ieee.org/document/9356583/

A new dynamic assessment algorithm based on the Type-1 Fuzzy Logic System (T1FLS) is proposed in this research work to develop a dynamic warehouse assessment scheme. First, the criteria and the sub-criteria that affect a warehouse performance are identified and, then, classified into a number of clusters. Second, the warehouse performance score is determined by employing the T1FLS that is developed by using expert knowledge and/or digital data. The data for the new assessed warehouses are then evaluated to ensure that the new data are not redundant and, thus, can lead to meaningful information. Finally, such new data are utilized to dynamically update the T1FLS. The algorithm has been validated on a series of actual warehouses in Jordan, and it has been shown that the presented scheme can successfully assess the warehouses with respect to the identified criteria. In addition to being dynamic, the newly proposed assessment framework can take into consideration uncertainties naturally, this being due to fuzzy logic which has the ability to model them intrinsically via the concept of vagueness.