A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering

Published: Jun 1, 2019
Abstract
Hierarchical fuzzy systems (HFSs) have been seen as an effective approach to reduce the complexity of fuzzy logic systems (FLSs), largely as a result of reducing the number of rules. However, it is not clear completely how complexity of HFSs can be measured. In FLSs, complexity is commonly expressed using a multi-factorial approach, taking into consideration the number of rules, variables, and fuzzy terms. However, this may not be the best way...
Paper Details
Title
A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering
Published Date
Jun 1, 2019
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.