Guest Editorial: Deep Fuzzy Models

Alexander Gegov, Uzay Kaymak, Joao Sousa

Research output: Contribution to journalEditorialpeer-review

Abstract

This special issue features recent developments and emerging topics in the area of deep fuzzy models that address some of the problems and limitations above. These models have been known under different names such as hierarchical fuzzy systems and fuzzy networks. They are usually well suited for performing multiple functional composition at either crisp or linguistic level. Moreover, they have the potential of handling effectively and efficiently data that is not well defined by means of a fuzzy approach. Also, deep fuzzy models can be used in both passive and active manner with regard to the environment due to their generic structure. Finally, these models have a fairly high level of transparency due to their rule base nature.
Original languageEnglish
JournalIEEE Transactions on Fuzzy Systems
Publication statusAccepted for publication - 19 May 2020

Keywords

  • deep fuzzy models
  • hierarchical fuzzy systems
  • fuzzy networks
  • neuro fuzzy systems
  • fuzzy neural networks
  • deep fuzzy systems
  • fuzzy trees
  • chained fuzzy systems

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