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您的检索式：作者名="KONG Weiren"
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| 1 | Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR显示文摘In view of the fact that traditional air target threat assessment methods are difficult to reflect the combat characteristics of uncertain, dynamic and hybrid formation, an algorithm is proposed to solve the multi-target threat assessment problems. The target attribute weight is calculated by the intuitionistic fuzzy entropy(IFE) algorithm and the time series weight is gained by the Poisson distribution method based on multi-times data. Finally,assessment and sequencing of the air multi-target threat model based on IFE and dynamic Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) is established with an example which indicates that the method is reasonable and effective. | ZHANG Kun KONG Weiren LIU Peipei SHI Jiao LEI Yu ZOU Jie | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 24 |
| 2 | Face Masks in the New COVID-19 Normal: Materials, Testing,and Perspectives显示文摘The increasing prevalence of infectious diseases in recent decades has posed a serious threat to public health.Routes of transmission differ,but the respiratory droplet or airborne route has the greatest potential to disrupt social intercourse,while being amenable to prevention by the humble facemask.Different types of masks give different levels of protection to the user.The ongoing COVID-19 pandemic has even resulted in a global shortage of face masks and the raw materials that go into them,driving individuals to self-produce masks from household items.At the same time,research has been accelerated towards improving the quality and performance of face masks,e.g.,by introducing properties such as antimicrobial activity and superhydrophobicity.This review will cover mask-wearing from the public health perspective,the technical details of commercial and home-made masks,and recent advances in mask engineering,disinfection,and materials and discuss the sustainability of mask-wearing and mask production into the future. | Ming Hui Chua Weiren Cheng Shermin Simin Goh Junhua Kong Bing Li Jason Y.CLim Lu Mao Suxi Wang Kun Xue Le Yang Enyi Ye Kangyi Zhang Wun Chet Davy Cheong Beng Hoon Tan Zibiao Li Ban Hock Tan Xian Jun Loh | 2020 | Research2020，，1： | 5 |
| 3 | Partition region-based suppressed fuzzy C-means algorithm显示文摘Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of different objects, applying the same suppressed parameter for modifying membership degrees of all the objects, a novel partition region-based suppressed fuzzy C-means clustering algorithm with better capacity of adaptability and robustness is proposed in this paper. The model based on the real needs of different objects is built, making it clear to decide whether to proceed with further determination; in addition, the external user-defined suppressed parameter is automatically selected according to the intrinsic structural characteristic of each dataset, making the proposed method become robust to the fluctuations in the incoming dataset and initial conditions. Experimental results show that the proposed method is more robust than its counterparts and overcomes the weakness of the original suppressed clustering algorithm in most cases. | Kun Zhang Weiren Kong Peipei Liu Jiao Shi Yu Lei Jie Zou Min Liu | 2017 | Journal of Systems Engineering and Electronics2017，28，5： | 0 |
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