International Journal of Man-Machine Studies
Connectionist ideas and algorithms
Communications of the ACM
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
A Petri-Net based approach for verifying the integrity of production systems
International Journal of Man-Machine Studies
Neural networks and the bias/variance dilemma
Neural Computation
On the relationship between neural networks, pattern recognition and intelligence
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
Empirical study on learning in fuzzy systems by rice taste analysis
Fuzzy Sets and Systems
A high level net approach for discovering potential inconsistencies in fuzzy knowledge bases
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue on diagnostics and control through neural interpretations of fuzzy sets
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Anytime learning and adaptation of structured fuzzy behaviors
Adaptive Behavior - Special issue on environment structure and behavior
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
A learning process for fuzzy control rules using genetic algorithms
Fuzzy Sets and Systems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Fuzzy clustering with structural constraints
Fuzzy Sets and Systems
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Towards neuro-linguistic modeling: constraints for optimization of membership functions
Fuzzy Sets and Systems
Knowledge-based neurocomputing
Knowledge-based neurocomputing
An axiomatic approach to scalar cardinalities of fuzzy sets
Fuzzy Sets and Systems
Entropy-based fuzzy clustering and fuzzy modeling
Fuzzy Sets and Systems
Applying MDL to learn best model granularity
Artificial Intelligence
Toward a logic of perceptions based on fuzzy logic
Discovering the world with fuzzy logic
A glance at implication and T-conditional functions
Discovering the world with fuzzy logic
Fuzzy clustering with squared Minkowski distances
Fuzzy Sets and Systems - Special issue on clustering and learning
Fuzzy clustering based on k-nearest-neighbours rule
Fuzzy Sets and Systems - Special issue on clustering and learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Foundations of Fuzzy Systems
Symbolical Reasoning about Numerical Data: A Hybrid Approach
Applied Intelligence
Soft Computing and Fuzzy Logic
IEEE Software
Collaborative fuzzy clustering
Pattern Recognition Letters
Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Granular computing: an emerging paradigm
Granular computing: an emerging paradigm
Interval and ellipsoidal uncertainty models
Granular computing
A fuzzy c-means variant for the generation of fuzzy term sets
Fuzzy Sets and Systems - Theme: Modeling and learning
Extracting Interpretable Fuzzy Rules from RBF Networks
Neural Processing Letters
Top-Down Induction of Model Trees with Regression and Splitting Nodes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Schopenhauer's Prolegomenon to Fuzziness
Fuzzy Optimization and Decision Making
Note on the relationship between probabilistic and fuzzy clustering
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Complexity Management in Fuzzy Systems: A Rule Base Compression Approach (Studies in Fuzziness and Soft Computing)
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Fuzzy Classifier Design
Rule-based modeling: precision and transparency
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy decision trees: issues and methods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Similarity measures in fuzzy rule base simplification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy relation equations and fuzzy inference systems: an insideapproach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On generating FC3 fuzzy rule systems from data usingevolution strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Granular clustering: a granular signature of data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fuzzy relational clustering algorithm based on a dissimilarity measure extracted from data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semantic constraints for membership function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
Combinatorial rule explosion eliminated by a fuzzy rule configuration
IEEE Transactions on Fuzzy Systems
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Comments on “Combinatorial rule explosion eliminated by a fuzzy rule configuration” [and reply]
IEEE Transactions on Fuzzy Systems
A highly interpretable form of Sugeno inference systems
IEEE Transactions on Fuzzy Systems
Self-organized fuzzy system generation from training examples
IEEE Transactions on Fuzzy Systems
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
IEEE Transactions on Fuzzy Systems
On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
A proposal for improving the accuracy of linguistic modeling
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Compact and transparent fuzzy models and classifiers through iterative complexity reduction
IEEE Transactions on Fuzzy Systems
From approximative to descriptive fuzzy classifiers
IEEE Transactions on Fuzzy Systems
Analysis and efficient implementation of a linguistic fuzzy c-means
IEEE Transactions on Fuzzy Systems
Improved possibilistic C-means clustering algorithms
IEEE Transactions on Fuzzy Systems
Generating an interpretable family of fuzzy partitions from data
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
Rule-base structure identification in an adaptive-network-based fuzzy inference system
IEEE Transactions on Fuzzy Systems
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
A neuro-fuzzy network to generate human-understandable knowledge from data
Cognitive Systems Research
An overview of statistical learning theory
IEEE Transactions on Neural Networks
Adaptive fuzzy systems for backing up a truck-and-trailer
IEEE Transactions on Neural Networks
Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms
Fuzzy Sets and Systems
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Identification of transparent, compact, accurate and reliable linguistic fuzzy models
Information Sciences: an International Journal
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Editorial: Special issue on interpretable fuzzy systems
Information Sciences: an International Journal
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
Learning interpretable fuzzy inference systems with FisPro
Information Sciences: an International Journal
A hierarchical model of a linguistic variable
Information Sciences: an International Journal
Multi-objective evolutionary fuzzy systems
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
A double axis classification of interpretability measures for linguistic fuzzy rule-based systems
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Generating understandable and accurate fuzzy rule-based systems in a java environment
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Information Sciences: an International Journal
Adaptability, interpretability and rule weights in fuzzy rule-based systems
Information Sciences: an International Journal
A novel cognitive system model and approach to transformation of information granules
International Journal of Approximate Reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
A fuzzy system index to preserve interpretability in deep tuning of fuzzy rule based classifiers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.07 |
Information granules are complex entities that arise in the process of abstraction of data and derivation of knowledge. The automatic generation of information granules from data is an important task, since it gives to machines the ability of acquiring knowledge that can be communicated to users. For this purpose, knowledge acquisition should provide for fuzzy information granules that can be naturally labelled by linguistic terms, i.e. symbols that belong to the natural language. Information granules of this type are called interpretable. However, interpretability cannot be guaranteed until a set of constraints is imposed on the granulation process. In literature, several interpretability constraints have been proposed, but, due to the subjective interpretation of interpretability, there is no agreement on which constraints should be adopted. This survey is an attempt to provide for a complete presentation of interpretability constraints adopted in literature with the following objectives: (i) to give a homogeneous description of all interpretability constraints; (ii) to provide for a critical review of such constraints; (iii) to identify potentially different meanings of interpretability. Hopefully, this survey may serve as a guidance for designing interpretable fuzzy models as well as for identifying new methods of interpretable information granulation.