Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Handbook of Granular Computing
Handbook of Granular Computing
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Approximation of Loss and Risk in Selected Granular Systems
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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We discuss the problem of measuring the quality of decision support (classification) system that involves granularity. We put forward the proposal for such quality measure in the case when the underlying granular system is based on rough and fuzzy set paradigms. We introduce the notion of approximation, loss function, and empirical risk functional that are inspired by empirical risk assessment for classifiers in the field of statistical learning.