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Fuzzy Modelling and Fuzzy Collaborative Modelling: A Perspective of Granular Computing

  • Witold PedryczEmail author
Chapter
Part of the Simulation Foundations, Methods and Applications book series (SFMA)

Abstract

The study elaborates on current developments in fuzzy modelling, especially fuzzy rule-based modelling, by positioning them in the general setting of granular computing. This gives rise to granular fuzzy modelling where the models built on a basis of fuzzy models are then conceptually augmented to make them in rapport with experimental data. Two main directions of granular fuzzy modelling dealing with distributed data and collaborative system modelling and transfer knowledge are formulated and the ensuing design strategies are outlined.

Keywords

System modelling Fuzzy models Granular fuzzy models Granular computing Information granules 

Notes

Acknowledgements

The support from the Canada Research Chair (CRC) and Natural Sciences and Engineering Research Council (NSERC) is gratefully acknowledged.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  2. 2.Faculty of Engineering, Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia
  3. 3.Systems Research Institute, Polish Academy of SciencesWarsawPoland

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