Function approximation with complex neuro-fuzzy system using complex fuzzy sets -- a new approach

DOI10.1007/s00354-011-0302-1zbMath1251.68245OpenAlexW2062464862MaRDI QIDQ1758663

Chunshien Li, Tai-Wei Chiang

Publication date: 16 November 2012

Published in: New Generation Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00354-011-0302-1

zbMATH Keywords

function approximationhybrid learningcomplex fuzzy setcomplex neuro-fuzzy system (CNFS)PSORLSE

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (8)

Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications ⋮ FANCFIS: fast adaptive neuro-complex fuzzy inference system ⋮ Time-Series Forecasting via Complex Fuzzy Logic ⋮ Intelligent financial time series forecasting: A complex neuro-fuzzy approach with multi-swarm intelligence ⋮ ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets ⋮ DFIS: A novel data filling approach for an incomplete soft set ⋮ A systematic review of complex fuzzy sets and logic ⋮ The orthogonality between complex fuzzy sets and its application to signal detection

Uses Software

• ANFIS

Cites Work

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• Operation properties and \(\delta \)-equalities of complex fuzzy sets
• Fuzzy logic and approximate reasoning
• A hierarchical fuzzy-clustering approach to fuzzy modeling
• Fuzzy identification of systems and its applications to modeling and control
• Fuzzy classification based on pattern projections analysis

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