A Dynamic Type-1 Fuzzy Logic System for the Development of a New Warehouse Assessment Scheme
A Dynamic Type-1 Fuzzy Logic System for the Development of a New Warehouse Assessment Scheme
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DOI：
10.1109/access.2021.3060293
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发表时间：
2021-01-01
期刊：
影响因子：
3.9
通讯作者：
Abdallah, Omar H.
中科院分区：
文献类型：
--
作者：
Alalaween, Wafa' H.;Alalawin, Abdallah H.;Abdallah, Omar H.
本研究提出一种新的动态评估演算法，并以第一型模糊逻辑系统（T1 FLS）为基础，发展出一种动态仓储评估方案。首先，确定影响仓库性能的标准和子标准，然后将其分类为多个簇。第二，仓库性能分数是通过采用T1 FLS来确定的，该T1 FLS是通过使用专家知识和/或数字数据来开发的。然后评估新评估的仓库的数据，以确保新数据不是冗余的，从而可以产生有意义的信息。最后，利用这些新数据来动态更新T1 FLS。该算法已在约旦的一系列实际仓库进行了验证，它已被证明，所提出的计划可以成功地评估仓库相对于所确定的标准。除了是动态的，新提出的评估框架可以考虑到自然的不确定性，这是由于模糊逻辑，它有能力模拟他们内在的概念，通过模糊性。
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.