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![]() ![]() | |
Source Publication | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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ISSN | 2329-924X |
2022-05-12 | |
Pages | 13 |
Corresponding Author | Mo, Hong(mohong198@163.com) |
Abstract | Breast 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. |
Keyword | History 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) |
DOI | 10.1109/TCSS.2022.3164889 |
WOS Keyword | MANAGEMENT MODEL ; FAMILY-HISTORY ; ASSOCIATION |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China[61473048] ; National Natural Science Foundation of China[61074093] |
Funding Organization | National Natural Science Foundation of China |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Cybernetics ; Computer Science, Information Systems |
WOS ID | WOS:000795210700001 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/49471 |
Collection | 复杂系统管理与控制国家重点实验室_平行智能技术与系统团队 |
Corresponding Author | Mo, Hong |
Affiliation | 1.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 |
Recommended Citation GB/T 7714 | 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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