Knowledge based modelling of complex interconnected systems

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Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)
PublisherInstitute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)978-1-7281-6481-6
ISBN (Print)978-1-7281-6482-3
DOIs
Publication statusPublished - 27 Feb 2020
EventBig Data, Knowledge and Control Systems Engineering 2019 - Sofia, Bulgaria
Duration: 21 Nov 201922 Nov 2019
https://ieeexplore.ieee.org/servlet/opac?punumber=8977239

Conference

ConferenceBig Data, Knowledge and Control Systems Engineering 2019
Abbreviated titleBdKCSE
Country/TerritoryBulgaria
CitySofia
Period21/11/1922/11/19
Internet address

Keywords

  • fuzzy networks
  • logical probabilistic networks
  • logical probability functions
  • noissn

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