Variable precision rough set model
Journal of Computer and System Sciences
Handbook of logic in artificial intelligence and logic programming (vol. 3): nonmonotonic reasoning and uncertain reasoning
Advances in the Dempster-Shafer theory of evidence
The nature of statistical learning theory
The nature of statistical learning theory
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Rough Consequence and Rough Algebra
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
The Paradox of the Heap of Grains in Respect to Roughness, Fuzziness and Negligibility
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
Rough sets and information granulation
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Rough sets: trends and challenges
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Behavioral pattern identification through rough set modelling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Approximation spaces and information granulation
Transactions on Rough Sets III
On String Languages Generated by Spiking Neural P Systems
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Granular Rough Theory: A representation semantics oriented theory of roughness
Applied Soft Computing
On Certain Rough Inclusion Functions
Transactions on Rough Sets IX
Satisfiability of Formulas from the Standpoint of Object Classification: The RST Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Pawlak's landscaping with rough sets
Transactions on rough sets VI
The domain of acoustics seen from the rough sets perspective
Transactions on rough sets VI
A four-valued logic for rough set-like approximate reasoning
Transactions on rough sets VI
Speech coding employing intelligent signal processing techniques
Transactions on rough sets VII
Hybrid rough sets-population based system
Transactions on rough sets VII
Rough multiset and its multiset topology
Transactions on rough sets XIV
Satisfiability judgement under incomplete information
Transactions on Rough Sets XI
Satisfiability of Formulas from the Standpoint of Object Classification: The RST Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
On String Languages Generated by Spiking Neural P Systems
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
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This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty – concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particularly those working in such areas as AI, computational intelligence, intelligent systems, cognitive science, data mining and machine learning. Thus this article is intended to present some philosophical observations rather than to consider technical details or applications of rough set theory. Therefore we also refrain from presentation of many interesting applications and some generalizations of the theory.