A Neural Network for Water Level Prediction in Artesian Wells

A New Heuristic Function for DC*

A Profile Modelling Approach for E-Learning Systems

A Study on Interpretability Conditions for Fuzzy Rule-Based Classifiers

A System for Fuzzy Items Recommendation

A competitive learning strategy for adapting fuzzy user profiles

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A neuro-fuzzy network to generate human-understandable knowledge from data

An empirical risk functional to improve learning in a neuro-fuzzy classifier

scientific article published in February 2004

Assessment of semantic cointension of fuzzy rule-based classifiers in a medical context

Automatic Design of Interpretable Fuzzy Partitions with Variable Granularity: An Experimental Comparison

Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation

Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks

scientific article published in 2020

DC γ : Interpretable Granulation of Data through GA-based Double Clustering

DCf: a double clustering framework for fuzzy information granulation

Data-driven design of fuzzy classification rules with semantic cointension

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Deriving prediction intervals for neuro-fuzzy networks

Design of fuzzy rule-based classifiers with semantic cointension

Distinguishability quantification of fuzzy sets

Extracting Interpretable Fuzzy Knowledge from Data

Fast Fuzzy Inference in Octave

Fuzzy Information Granulation with Multiple Levels of Granularity

HUGE: an integrated system for Human Understandable Granule Extraction

Interface optimality in fuzzy inference systems

Interpretability Assessment of Fuzzy Rule-Based Classifiers

Interpretability assessment of fuzzy knowledge bases: A cointension based approach

Interpretability constraints for fuzzy information granulation

Interpretability of Fuzzy Information Granules

Interpretability of Fuzzy Systems

Interpretability of Fuzzy Systems: Current Research Trends and Prospects

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Interpretable Granulation of Medical Data with DC

Interpretable knowledge discovery from data with DC*

Item Recommendation with Veristic and Possibilistic Metadata: A Preliminary Approach

Knowledge discovery by a neuro-fuzzy modeling framework

LEARNING FUZZY USER PROFILES FOR RESOURCE RECOMMENDATION

Mining Diagnostic Rules Using Fuzzy Clustering

Modeling Interpretable Fuzzy Rule-Based Classifiers for Medical Decision Support

Modeling User Preferences through Adaptive Fuzzy Profiles

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ON THE ROLE OF INTERPRETABILITY IN FUZZY DATA MINING

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Part-Based Data Analysis with Masked Non-negative Matrix Factorization

Serendipitous Fuzzy Item Recommendation with ProfileMatcher

Similarity-Based Fuzzy Clustering for User Profiling

Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering

Subtractive clustering for seeding non-negative matrix factorizations