![]() The main objective of stock portfolio selection is to distribute capital to selected stocks to get the most profitable returns at a lower risk. Eventually, to demonstrate and validate the superiorityĪnd inferiority ranking (SIR) method and choice value (CV) method in terms of their rationalityĪnd scientific basis, a real-world example of supplier selection in a food supply chain is provided.Ī comparative analysis is also performed to discuss the symmetry, validity and advantage of the We also examine the conceptualization of the SVNHF dense set and SVNHF base in SVNHF Of SVNHF topology such as the SVNHF closure, SVNHF interior, SVNHF exterior, and SVNHFįrontier. (SVNHFSs) as well as to validate several key properties with examples. The foremost purpose of thisĪnalysis is to construct a topological structure on single-valued neutrosophic hesitant fuzzy sets Single-valued neutrosophic hesitant fuzzy numbers (SVNHFNs). Hesitant fuzzy (SVNHF) information, in which the input assessment is taken into account using Present a contemporary method for designating green suppliers based on single-valued neutrosophic ![]() Relationships between alternatives under uncertain circumstances. The failure of some specific MCDM problems is due to failure in contemplating the Of FSC, which has been contemplated as a multi-criteria decision-making (MCDM) problem in Supplier selection (SS) has been identified as a crucial component Any disruption in these shipment pipelines ![]() People depend on supplyĬhains for basic necessities such as food, water, drinks, etc. Food is now transmitted across continents over long ranges. Additionally, the result of sensitivity verification of the proposed method conducted proves the robustness and correctness of the algorithm and results.įrom production to retail, the food supply chain (FSC) encompasses all stages of food The paper concludes that technological innovation, government support and current legislation are the most critical drivers during SPM implementation. The evaluation of drivers is based on the basic principles of sustainable development (environmental criterion, social criterion and economic criterion). The drivers are calculated and ranked by a two-step fuzzy MCDM method which integrated the fuzzy AHP (fuzzy analytic hierarchy process) and fuzzy TOPSIS (fuzzy technique for order of preference by similarity to ideal solution) algorithms. To resolve these problems, drivers of SPM are identified based on combined support of prior studies and six groups of experts consisting of 71 individuals from six precision manufacturing enterprises. There is no literature identifying and ranking the drivers of implementation of SPM and the impact on sustainability owing to the application of advanced manufacturing technologies in SPM has not been explored. Hence, the implementation of sustainable precision manufacturing (SPM) is of great strategic significance. This was achieved by treating the incorrect-mask-wearing scenario as an anomaly, leading to reasonable performance in the absence of training data of the third class.ĭespite that products of precision manufacturing are widely used in many fields involving the national economy, precision manufacturing processes are more unfriendly to the environment, resources and social development than general manufacturing. First, we aimed to provide an up-to-date review of recent mask-face detection research in both two-class cases and three-class cases, next, to fill the gap left by existing reviews by providing a formal review of mask-face detection hardware systems and to propose a new framework named Out-of-distribution Mask (OOD-Mask) to perform the three-class detection task using only two-class training data. The objectives of this paper are three-fold. ![]() Moreover, no formal review has been conducted on the techniques of implementing mask detection models in hardware systems or mobile devices. While various reviews on mask-face detection techniques up to 2021 are available, little has been reviewed on the distinction between two-class (i.e., wearing mask and without mask) and three-class masking, which includes an additional incorrect-mask-wearing class. Mask-face detection has been a significant task since the outbreak of the COVID-19 pandemic in early 2020. ![]()
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