Fuzzy rule base simplification using multidimensional scaling and constrained optimization

DOI10.1016/j.fss.2015.10.009zbMath1378.93019OpenAlexW2183572307MaRDI QIDQ679756

George E. Tsekouras

Publication date: 22 January 2018

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2015.10.009

zbMATH Keywords

accuracyfuzzy modelinginterpretabilitymultidimensional scalingapproximated similarity measuresnon-linear constrained optimization

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (1)

Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis

Uses Software

• FisPro

Cites Work

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