Possibilistic causality consistency problem based on asymmetrically-valued causal model
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Fuzzy Sets and Systems
On discovery of soft associations with "most" fuzzy quantifier for item promotion applications
Information Sciences: an International Journal
Using association rules to mine for strong approximate dependencies
Data Mining and Knowledge Discovery
Mining multiple-level fuzzy blocks from multidimensional data
Fuzzy Sets and Systems
An Experiment with Fuzzy Sets in Data Mining
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Frequent Itemset Mining from Databases Including One Evidential Attribute
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Identification of association rules between clusters
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Measures of Ruleset Quality Capable to Represent Uncertain Validity
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Adding Uncertainty to a Rete-OO Inference Engine
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach
Uncertainty Reasoning for the Semantic Web I
A Framework for Mining Fuzzy Association Rules from Composite Items
New Frontiers in Applied Data Mining
A survey on fuzzy relational equations, part I: classification and solvability
Fuzzy Optimization and Decision Making
Measures of ruleset quality for general rules extraction methods
International Journal of Approximate Reasoning
Incremental Maintenance of Frequent Itemsets in Evidential Databases
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
mTRACK: monitoring time-varying relations in approximately
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
On a fuzzy group-by and its use for fuzzy association rule mining
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Fuzzy sets in machine learning and data mining
Applied Soft Computing
Proceedings of the 20th international conference companion on World wide web
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
Extracting compact and information lossless sets of fuzzy association rules
Fuzzy Sets and Systems
Bipolar representations in reasoning, knowledge extraction and decision processes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Dependencies among attributes given by fuzzy confirmation measures
Expert Systems with Applications: An International Journal
Fuzzy orderings for fuzzy gradual patterns
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Towards healthy association rule mining (HARM): a fuzzy quantitative approach
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A formal model for mining fuzzy rules using the RL representation theory
Information Sciences: an International Journal
Detection of fuzzy association rules by fuzzy transforms
Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms (2012)
Finding Associations in Composite Data Sets: The CFARM Algorithm
International Journal of Data Warehousing and Mining
FAR-miner: a fast and efficient algorithm for fuzzy association rule mining
International Journal of Business Intelligence and Data Mining
FARP: Mining fuzzy association rules from a probabilistic quantitative database
Information Sciences: an International Journal
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In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the literature. While the formal specification of fuzzy associations is more or less straightforward, the assessment of such rules by means of appropriate quality measures is less obvious. Particularly, it assumes an understanding of the semantic meaning of a fuzzy rule. This aspect has been ignored by most existing proposals, which must therefore be considered as ad-hoc to some extent. In this paper, we develop a systematic approach to the assessment of fuzzy association rules. To this end, we proceed from the idea of partitioning the data stored in a database into examples of a given rule, counterexamples, and irrelevant data. Evaluation measures are then derived from the cardinalities of the corresponding subsets. The problem of finding a proper partition has a rather obvious solution for standard association rules but becomes less trivial in the fuzzy case. Our results not only provide a sound justification for commonly used measures but also suggest a means for constructing meaningful alternatives.