Affiliations: [a]
Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, P. R. China | [b] Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, P. R. China | [c]
Hubei Power Grid Intelligent Control and Equipment Engineering Technology Research Center, Hubei University of Technology, Wuhan, P. R. China | [d]
School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, P. R. China
Abstract: With the rapid development of science and technology, more and more electronic devices, such as communication equipment, navigation equipment, and various information systems based on computer network installed in which leading to greatly improved possibilities of electromagnetic interference. Take consideration of other natural factors, the electromagnetic environment is getting more and more complicated. Normal operation of the electronic information systems installed in the vehicle are greatly threatened under the severe electromagnetic environment, improve interference prediction and design capability, to avoid electromagnetic compatibility problems, and to strengthen the electromagnetic environmental adaptability of electronic information systems has become widespread concern. The problem of evaluating the lightning disaster risk of electronic information system with intuitionistic fuzzy information is the multiple attribute decision making (MADM) problems. In this paper, we shall investigate the multiple attribute decision making problems for lightning disaster risk assessment of electronic information system with intuitionistic fuzzy information. Then, we used the induced intuitionistic fuzzy Hamacher ordered weighted averaging (I-IFHOWA) operator to evaluate the lightning disaster risk of electronic information system. Finally, an illustrative example is given to verify the developed approach.
