This study proposes a new approach for single-sampling plan by determining sample size and acceptance number. The proposed approach is based on a two-step methodology. In the first step: quality management step, different single sampling inspection plans were generated by running an optimization model for different possible acceptance numbers. While, in the second step: Multi-Attribute Decision...

Recommender systems (RSs) have attained exceptional performance in learning users' preferences and finding the most suitable products. Recent advances adversarial machine (AML) computer vision raised interests recommenders' security.It has been demonstrated that widely adopted model-based recommenders, e.g., BPR-MF, are not robust to perturbations added on learned parameters, embeddings, which ...