RIFPOS - Rule Interpolation for Fuzzy and Possibilistic Systems

Project: Funded researchFWF - Austrian Science Fund

Project Details

Description

The methodology of rule interpolation is required for deducing plausible conclusions from sparse (incomplete) fuzzy rule bases. Therefore, one priority of this research project is the development of a method, which satisfies the necessary conditions for a sound inference mechanism and, consequently, can also be used for approximate reasoning purposes.
StatusFinished
Effective start/end date01.07.199830.06.1999

Funding

  • Austrian Science Fund

Fields of science

  • 101024 Probability theory
  • 101013 Mathematical logic
  • 202027 Mechatronics
  • 102019 Machine learning
  • 101020 Technical mathematics
  • 102009 Computer simulation
  • 101 Mathematics
  • 206003 Medical physics
  • 206001 Biomedical engineering
  • 102035 Data science
  • 101028 Mathematical modelling
  • 102023 Supercomputing
  • 102001 Artificial intelligence
  • 101027 Dynamical systems
  • 101004 Biomathematics
  • 102003 Image processing
  • 101014 Numerical mathematics

JKU Focus areas

  • Digital Transformation