A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Why triangular membership functions?
Fuzzy Sets and Systems
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Induction of fuzzy rules and membership functions from training examples
Fuzzy Sets and Systems
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
Function approximation with polynomial membership functions and alternating cluster estimation
Fuzzy Sets and Systems - Special issue on analytical and structural considerations in fuzzy modeling
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Symbolical Reasoning about Numerical Data: A Hybrid Approach
Applied Intelligence
Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Granular computing: an emerging paradigm
Granular computing: an emerging paradigm
A fuzzy c-means variant for the generation of fuzzy term sets
Fuzzy Sets and Systems - Theme: Modeling and learning
Hybrid identification in fuzzy-neural networks
Fuzzy Sets and Systems - Theme: Learning and modeling
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing)
On the abstraction of conventional dynamic systems: from numerical analysis to linguistic analysis
Information Sciences—Informatics and Computer Science: An International Journal
The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic
Applied Soft Computing
Logic - Oriented Fuzzy Neural Networks
International Journal of Hybrid Intelligent Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
IEEE Transactions on Knowledge and Data Engineering
Improving generalization of fuzzy IF-THEN rules by maximizing fuzzy entropy
IEEE Transactions on Fuzzy Systems
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A comparative study on heuristic algorithms for generating fuzzydecision trees
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constructing a user-friendly GA-based fuzzy system directly from numerical data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy versus quantitative association rules: a fair data-driven comparison
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
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Alternating cluster estimation: a new tool for clustering and function approximation
IEEE Transactions on Fuzzy Systems
Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Logic-Based Fuzzy Neurocomputing With Unineurons
IEEE Transactions on Fuzzy Systems
The min-max function differentiation and training of fuzzy neural networks
IEEE Transactions on Neural Networks
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model
IEEE Transactions on Neural Networks
OR/AND neurons and the development of interpretable logic models
IEEE Transactions on Neural Networks
A genetic reduction of feature space in the design of fuzzy models
Applied Soft Computing
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Linguistic interface is a group of linguistic terms or fuzzy descriptions that describe variables in a system utilizing corresponding membership functions. Its transparency completely or partly decides the interpretability of fuzzy models. This paper proposes a GRadiEnt-descEnt-based Transparent lInguistic iNterface Generation (GREETING) approach to overcome the disadvantage of traditional linguistic interface generation methods where the consideration of the interpretability aspects of linguistic interface is limited. In GREETING, the widely used interpretability criteria of linguistic interface are considered and optimized. The numeric experiments on the data sets from University of California, Irvine (UCI) machine learning databases demonstrate the feasibility and superiority of the proposed GREETING method. The GREETING method is also applied to fuzzy decision tree generation. It is shown that GREETING generates better transparent fuzzy decision trees in terms of better classification rates and comparable tree sizes.