New Findings in Mathematics Described from Shandong University of Science and Technology (Research On Ubi Auto Insurance Pricing Model Based On Parameter Adaptive Sapso Optimal Fuzzy Controller): Mathematics - Insurance News | InsuranceNewsNet

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February 8, 2023 Newswires
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New Findings in Mathematics Described from Shandong University of Science and Technology (Research On Ubi Auto Insurance Pricing Model Based On Parameter Adaptive Sapso Optimal Fuzzy Controller): Mathematics

Insurance Daily News

2023 FEB 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Mathematics. According to news reporting originating from Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “Aiming at the problem of ‘dynamic’ accurate determination of rates in UBI auto insurance pricing, this paper proposes a UBI auto insurance pricing model based on fuzzy controller and optimizes it with a parameter adaptive SASPO. On the basis of the SASPO algorithm, the movement direction of the particles can be mutated and the direction can be dynamically controlled, the inertia weight value is given by the distance between the particle and the global optimal particle, and the learning factor is calculated according to the change of the fitness value, which realizes the parameter in the running process. Effective self-adjustment.”

Financial supporters for this research include General Projects of Shandong Provincial Natural Science Foundation, National Bureau of Statistics, National Statistical Science Research Project Key Project, “Research on the Co-movement and Spatial Spillover Effect Between the Development of Digital Economy and Real Economy.”

Our news editors obtained a quote from the research from the Shandong University of Science and Technology, “A five -dimensional fuzzy controller is constructed by selecting the monthly driving mileage, the number of violations, and the driving time at night in the UBI auto insurance data. The weights are used to form fuzzy rules, and a variety of algorithms are used to optimize the membership function and fuzzy rules and compare them. The research results show that, compared with other algorithms, the parameter adap-tive SAPAO algorithm can calculate more reasonable, accurate and high-quality fuzzy rules and membership functions when processing UBI auto insurance data.”

According to the news editors, the research concluded: “The accuracy and robustness of UBI auto insurance rate determination can realize dynamic and accurate determination of UBI auto insurance rates.”

This research has been peer-reviewed.

For more information on this research see: Research On Ubi Auto Insurance Pricing Model Based On Parameter Adaptive Sapso Optimal Fuzzy Controller. Computing and Informatics, 2022;41(4):1078-1113. Computing and Informatics can be contacted at: Slovak Acad Sciences Inst Informatics, Dubravska Cesta 9, 84237 Bratislava, Slovakia.

The news editors report that additional information may be obtained by contacting Wei Liu, Shandong University of Science and Technology, College of Computer Science & Engineering, Qingdao 266590, Shandong, People’s Republic of China. Additional authors for this research include Xindong Wang, Chun Yan, Zhaochuang Ou, Man Qi and Wenli Jia.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.31577/cai202241078. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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