Cite Article
Cite Article
MLA
Li, Dan, et al. "Fuzzy SVM With Mahalanobis Distance for Situational Awareness-Based Recognition of Public Health Emergencies." IJFSA vol.13, no.1 2024: pp.1-21. http://doi.org/10.4018/IJFSA.342117
APA
Li, D., Qu, Z., Lyu, C., Zhang, L., & Zuo, W. (2024). Fuzzy SVM With Mahalanobis Distance for Situational Awareness-Based Recognition of Public Health Emergencies. International Journal of Fuzzy System Applications (IJFSA), 13 (1), 1-21. http://doi.org/10.4018/IJFSA.342117
Chicago
Li, Dan, et al. "Fuzzy SVM With Mahalanobis Distance for Situational Awareness-Based Recognition of Public Health Emergencies," International Journal of Fuzzy System Applications (IJFSA) 13, no.1: 1-21. http://doi.org/10.4018/IJFSA.342117
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International Journal of Fuzzy System Applications (IJFSA) The International Journal of Fuzzy System Applications (IJFSA) is a comprehensive reference journal, dedicated to presenting the most innovative systematic and practical facets of fuzzy technologies to students, scholars, and academicians, as well as practitioners, engineers and professionals. Focusing on fuzzy decision support, expert, reasoning and rule-based systems, IJFSA presents up-to-date theoretical views on fuzzy computing, while highlighting empirical approaches useful to real-world utilization. Successes, challenges, and assorted strategies for best usage of fuzzy system applications are explained and discussed.
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