Knowledge based modelling of complex interconnected systems
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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.
|Title of host publication||Proceedings of the 2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||4|
|Publication status||Published - 27 Feb 2020|
|Event||Big Data, Knowledge and Control Systems Engineering 2019 - Sofia, Bulgaria|
Duration: 21 Nov 2019 → 22 Nov 2019
|Conference||Big Data, Knowledge and Control Systems Engineering 2019|
|Period||21/11/19 → 22/11/19|
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Accepted author manuscript (Post-print), 533 KB, PDF document