In the area of fuzzy models we are dealing with the study of

  • mathematical theory of fuzzy approximation,
  • formal methods for the representation of knowledge burdened with uncertainties,
  • fuzzy models of dynamic and self-organizing systems and systems controlled or influenced by events burdened with uncertainties, etc.

The development of information science brings the need to draw inspiration from biological phenomena, such as: biological computation, artificial immune systems, evolution strategies, ant colony theory, pack theory, bacterial foraging, hybrid approaches, etc. but also to adequately record and evaluate such phenomena.

FROM OUR PORTFOLIO

Head of the research programme
  • Vilém Novák

Novák




 

Publications:

Press Release: Call for mid-caps, SMEs and manufacturing start-ups to receive support from the EU
Press Release: Call for mid-caps, SMEs and manufacturing start-ups to receive support from the EU
Invitation to the course Fundamentals of Deep Learning for Computer Vision (11/06/2019)
When: Tuesday 11 June 2019, 8.30am – 5.00pm Where: campus VŠB-TUO in Ostrava-Poruba, IT4Innovations building, […]
New publication: Supercomputing in Science and Engineering 2017-18
New publication: Supercomputing in Science and Engineering 2017-18
Invitation to the HPCSE conference, 20–23 May 2019
The HPCSE conference is held every two years, and this year the conference will have […]
IT4Innovations Newsletter Q1/2019
IT4Innovations Newsletter Q1/2019
All news