A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set
| العنوان: | A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set |
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| المؤلفون: | Bangcheng Zhang, Guanyu Hu, Changhua Hu, Zhi-Jie Zhou, Zhiguo Zhou, Pei-Li Qiao |
| المصدر: | IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1649-1655 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Network security, business.industry, Evidential reasoning approach, Inference, 02 engineering and technology, Universal set, Machine learning, computer.software_genre, Power set, Computer Science Applications, Human-Computer Interaction, Control and Systems Engineering, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, Hidden Markov model, business, Projection (set theory), Evolution strategy, computer, Software, Mathematics |
| الوصف: | It is important to predict the hidden behavior of a complex system. In the existing models for predicting the hidden behavior, the hidden belief rule base (HBRB) is an effective model which can use qualitative knowledge and quantitative data. However, the frame of discernment (FoD) of HBRB which is composed of some states or propositions and the universal set including all states or propositions is not complete. The global ignorance and local ignorance cannot be considered at the same time, which may lead to the inaccurate forecasting results. To solve the problems, a new HBRB model named as PHBRB in which the hidden behavior is described on the FoD of the power set is proposed in this correspondence paper. Furthermore, by using the evidential reasoning rule as the inference tool of PHBRB, a new projection covariance matrix adaption evolution strategy is developed to optimize the parameters of PHBRB so that more accurate prediction results can be obtained. A case study of network security situation prediction is conducted to demonstrate the effectiveness of the newly proposed method. |
| تدمد: | 2168-2232 2168-2216 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::36a24af4a32713431a2c192b10b1b56f https://doi.org/10.1109/tsmc.2017.2665880 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........36a24af4a32713431a2c192b10b1b56f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21682232 21682216 |
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