Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System
Mo, Hong1; Hu, Haihong1; Hu, Jinhui2; Li, Yuanyuan2; Wang, Xiao3,4; Wang, Fei-Yue3,4,5,6
Corresponding AuthorMo, Hong(
AbstractBreast cancer (BC) seriously threatens women's health. The establishment of a risk evaluation model cancer is conducive to early screening and prevention of BC. In this article, a new method of the evaluation and the framework of prevention for BC are proposed by synthesizing interval type-2 fuzzy sets (IT2 FSs), two-level fuzzy comprehensive evaluation, and parallel control (Artificial societies, Computational experiments, and Parallel execution, ACP). At the same time, 12 risk factors were selected as indicators to evaluate the risk level of BC, and then, according to the evaluation results, the correspondingly prevention strategies and intervention measures for different risk levels were discussed. Then, the prevention strategies are analyzed and selected in the computational experiment module of the artificial system, and the patient indexes are monitored in real time by the parallel mechanism between the actual and the artificial system, to feedback, adjust, and optimize the prevention scheme in time. This parallel BC prevention process can achieve dynamic closed-loop control effects. A new effective way for BC prevention was presented, which is of great significance for reducing its incidence rate and developing new medical means.
KeywordHistory Fuzzy control Complex systems Training Real-time systems Medical diagnostic imaging Industries ACP breast cancer (BC) fuzzy comprehensive evaluation interval type-2 fuzzy sets (IT2 FSs)
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[61473048] ; National Natural Science Foundation of China[61074093]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000795210700001
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Document Type期刊论文
Corresponding AuthorMo, Hong
Affiliation1.Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Peoples R China
2.Hunan Univ Chinese Med, Affiliated Hosp 1, Changsha 410208, Peoples R China
3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China
4.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
5.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst, Changsha 410015, Peoples R China
6.Univ Chinese Acad Sci, Ctr China Econ & Social Secur, Beijing 100190, Peoples R China
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Mo, Hong,Hu, Haihong,Hu, Jinhui,et al. Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2022:13.
APA Mo, Hong,Hu, Haihong,Hu, Jinhui,Li, Yuanyuan,Wang, Xiao,&Wang, Fei-Yue.(2022).Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,13.
MLA Mo, Hong,et al."Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2022):13.
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