Proceedings of The 2nd International Conference on Advanced Research in Management, Economics and Accounting
A Grey-Relational-Based Type-1 Fuzzy Logic Analysis for the Development of a Warehouse Assessment Scheme
Wafa’ Alalaween , Omar a. Abueed, Abdallah Alalawin, Mahdi Mahfouf
In this work, the integration between the type-1 fuzzy logic system (T1FLS) and the grey relational analysis (GRA) is investigated to present a warehouse assessment scheme. First, numerous warehouses are assessed based on a defined set of criteria by assigning a warehouse score to each criterion. Second, the GRA is utilized to estimate the grey relational grade, as an overall warehouse performance measure. At this stage, the NICE classification is employed to assign weights for the criteria according to the products that warehouses deal with. The T1FLS is, then, implemented to map the warehouses’ scores of the criteria to the overall warehouse performance indicator. Once the T1FLS is established, it can be employed to directly evaluate new warehouses. Furthermore, this transparent scheme is able to provide a linguistic explanation of the relationships between the given criteria and the warehouse performance. The overall root mean square value for the T1FLS is 0.033.
keywords: Grey Relational Analysis, Type-1 Fuzzy Logic System, Warehouse Assessment Scheme.