Hierarchical Bidirectional Fuzzy Rule Interpolation

Shangzhu Jin, Yanling Jiang, Jun Peng, Qiang Shen

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

152 Downloads (Pure)

Abstract

The “curse of dimensionality” and “sparse rule base” are two common and important problems in conventional fuzzy systems. Using hierarchical fuzzy systems is an effective way to deal with the “curse of dimensionality” problem, whilst fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models, making inference possible in systems containing only a sparse rule base. In particular, backward fuzzy interpolation can be employed to allow interpolation to be carried out when certain antecedents of observation variables are absent, whereas conventional methods do not work. In order to deal with both “curse of dimensionality” and “sparse rule base” simultaneously, an initial idea of hierarchical bidirectional fuzzy interpolation is presented in this paper, combining hierarchical fuzzy systems and forward/backward fuzzy rule interpolation. Hierarchical bidirectional fuzzy interpolation is applicable to situations where a multiple multi-antecedent rules system needs to be reconstructed to a multi-layer fuzzy system and any sub-layer rule base is sparse. The implementation of this approach is based on fuzzy rule interpolative reasoning that utilities scale and move transformation. An illustrative example and application scenario are provided to demonstrate the efficacy of this proposed approach.
Original languageEnglish
Title of host publication2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
EditorsNewton Howard, Sam Kwong, Yingxu Wang, Jerome Feldman, Bernard Widrow, Phillip Sheu
PublisherIEEE Press
Pages351-357
Number of pages7
ISBN (Electronic)9781538633601
DOIs
Publication statusPublished - 07 Oct 2018
Event2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing - Berkeley, United States of America
Duration: 16 Jul 201818 Jul 2018

Publication series

NameInternational Conference on Cognitive Informatics and Cognitive Computing

Conference

Conference2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing
Abbreviated titleICCI*CC
Country/TerritoryUnited States of America
CityBerkeley
Period16 Jul 201818 Jul 2018

Keywords

  • Backward fuzzy rule interpolation
  • Curse of dimensionality
  • Hierarchical system
  • Sparse rule base

Fingerprint

Dive into the research topics of 'Hierarchical Bidirectional Fuzzy Rule Interpolation'. Together they form a unique fingerprint.

Cite this