Gradual inference rules in approximate reasoning
Information Sciences: an International Journal
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Fuzzy sets in decision analysis, operations research and statistics
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Graphical Models: Methods for Data Analysis and Mining
Graphical Models: Methods for Data Analysis and Mining
Possibilistic Induction in Decision-Tree Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Implication-Based Fuzzy Association Rules
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Association Rules for Expressing Gradual Dependencies
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Possibility as similarity; the semantics of fuzzy logic
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Data mining, rough sets and granular computing
Data mining, rough sets and granular computing
A complete fuzzy decision tree technique
Fuzzy Sets and Systems - Theme: Learning and modeling
Possibilistic instance-based learning
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Soft Aggregation Methods in Case Based Reasoning
Applied Intelligence
Pattern Discovery of Fuzzy Time Series for Financial Prediction
IEEE Transactions on Knowledge and Data Engineering
A systematic approach to the assessment of fuzzy association rules
Data Mining and Knowledge Discovery
International Journal of Approximate Reasoning
A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases
Intelligent Data Analysis
A new technique for combining multiple classifiers using the dempster-shafer theory of evidence
Journal of Artificial Intelligence Research
Examples, counterexamples, and measuring fuzzy associations
Fuzzy Sets and Systems
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
A note on quality measures for fuzzy association rules
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
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
Designing decision trees with the use of fuzzy granulation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy set-based methods in instance-based reasoning
IEEE Transactions on Fuzzy Systems
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach
Uncertainty Reasoning for the Semantic Web I
Expert Systems with Applications: An International Journal
A new method for semi-automatic fuzzy training and its application in environmental modeling
Environmental Modelling & Software
A formal model for mining fuzzy rules using the RL representation theory
Information Sciences: an International Journal
Fuzzy machine learning and data mininga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Soft computing techniques in ensemble precipitation nowcast
Applied Soft Computing
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Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from empirical data. Automated knowledge acquisition of that kind has been an essential aspect of artificial intelligence since a long time and has more recently also attracted considerable attention in the fuzzy sets community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. In this connection, some advantages of fuzzy methods for representing and mining vague patterns in data are especially emphasized.