Interpretability Constraints and Criteria for Fuzzy Systems

José M. Alonso; Ciro Castiello; Luis Magdalena; Corrado Mencar

doi:10.1007/978-3-030-71098-9_3

ScienceGate Book Chapters

BOOK-CHAPTER

Interpretability Constraints and Criteria for Fuzzy Systems

José M. Alonso Ciro Castiello Luis Magdalena Corrado Mencar

Year: 2021 Studies in computational intelligence Pages: 49-89 Publisher: Springer Nature

DOI: 10.1007/978-3-030-71098-9_3

Get Full-Text PDF Get Analytical Report

Keywords:

Interpretability Fuzzy logic Computer science Artificial intelligence Machine learning Context (archaeology) Fuzzy set Fuzzy set operations Representation (politics)

Metrics

Cited By

4.03

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Multi-Criteria Decision Making

Social Sciences → Decision Sciences → Management Science and Operations Research

Interpretability Constraints and Criteria for Fuzzy Systems

Metrics

Citation History

Topics

Related Documents

Interpretability constraints for fuzzy information granulation

Interpretability of Fuzzy Systems

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification

INTERPRETABILITY VERSUS ADAPTABILITY IN FUZZY SYSTEMS

Interpretability indices for hierarchical fuzzy systems