The interpretability and scalability of linguistic-rule-based systems for solving regression problems

DOI10.1016/j.ijar.2022.07.007OpenAlexW4288760143MaRDI QIDQ2169222

Van Long Nguyen, Van Thong Hoang, Cat Ho Nguyen, Duc Du Nguyen, Dinh Phong Pham

Publication date: 2 September 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.07.007

zbMATH Keywords

scalabilityinterpretabilityfuzzy rule-based systemsregression problemshedge algebrasqualitative word semantics

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Unnamed Item
• An algebraic approach to linguistic hedges in Zadeh's fuzzy logic
• Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
• Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
• A topological completion of refined hedge algebras and a model of fuzziness of linguistic terms and hedges
• Fuzziness measure on complete hedge algebras and quantifying semantics of terms in linear hedge algebras
• Hedge algebras: an algebraic approach to structure of sets of linguistic truth values
• A new approach to the summarization of data
• Towards neuro-linguistic modeling: Constraints for optimization of membership functions
• The concept of a linguistic variable and its application to approximate reasoning. II
• Extended hedge algebras and their application to fuzzy logic
• Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining.
• A genetic design of linguistic terms for fuzzy rule based classifiers
• Undecidable theories
• A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS
• HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism
• Fuzzy sets

This page was built for publication: The interpretability and scalability of linguistic-rule-based systems for solving regression problems