Research on knowledge representation and modeling of health management based on fuzzy ontology

Article type: Research Article

Authors: Jianfeng, Li^*; | Xin, Chen | Hua, Guo | Guiling, Sun | Yuhua, Xu | Naizhen, Zhang

Affiliations: Beijing Aeronautical Technology Research Center, China

Correspondence: [*] Corresponding author. Li Jianfeng. E-mail: [email protected].

Abstract: The long-term maintenance of good condition for equipment is the basis of carrying out combat missions under the high technology and fast pace of modern war. However, the knowledge in the health management field at present has the characteristics of distribution, multi-source, heterogeneity and uncertainty, which seriously affects the efficiency of knowledge sharing and reuse. In order to improve the utilization of health management knowledge, an ontology-based knowledge representation method is proposed to describe knowledge in a unified and standardized way, and the classical ontology is extended to express the uncertain knowledge in the field of health management. In addition, to improve the maintenance and knowledge updating efficiency, a global ontology model and a hierarchy, time and activity (HTA) ontology model are constructed. This paper takes the guidance subsystem of a missile as an example to illustrate the process of knowledge modeling. The results show this method realizes knowledge sharing in the health management field and can provide decision support for health management of equipment.

Keywords: Knowledge representation, fuzzy ontology, HTA model, knowledge modeling

DOI: 10.3233/JIFS-224151

Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 5, pp. 7135-7152, 2023