Knowledge Based Modelling of Complex Interconnected Systems

被引：0
|
作者：
Vatchova, Boriana [1 ]
Sanders, David [2 ]
Adda, Mo [3 ]
Gegov, Alexander [3 ]
机构：
[1] Bulgarian Acad Sci, Inst Informat & Commun Technol, Sofia, Bulgaria
[2] Univ Portsmouth, Sch Engn, Portsmouth, Hants, England
[3] Univ Portsmouth, Sch Comp, Portsmouth, Hants, England
来源：
2019 BIG DATA, KNOWLEDGE AND CONTROL SYSTEMS ENGINEERING (BDKCSE) | 2019年
关键词：
logical probability functions; logical probabilistic networks; fuzzy networks; RULE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The present paper discusses the use of intelligent control for modelling complex interconnected processes. The latter usually have many inputs and outputs and can be found in various areas of application. While part of the inputs are measurable, others are not due to the presence of stochastic environmental factors. For this reason such kind of processes operate under uncertainty. The latter is addressed in this paper by intelligent systems that use probabilistic and fuzzy network structures.
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页数：4
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