Variable precision rough set model
Journal of Computer and System Sciences
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Granular computing, rough entropy and object extraction
Pattern Recognition Letters
Calculi of Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Nearness of Objects: Extension of Approximation Space Model
Fundamenta Informaticae - Special Issue on Concurrency Specification and Programming (CS&P)
Handbook of Granular Computing
Handbook of Granular Computing
Rough Granular Computing in Knowledge Discovery and Data Mining
Rough Granular Computing in Knowledge Discovery and Data Mining
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
Information Entropy and Granulation Co---Entropy of Partitions and Coverings: A Summary
Transactions on Rough Sets X
Rough sets and vague concept approximation: from sample approximation to adaptive learning
Transactions on Rough Sets V
Treasure Trove at Banacha. Set Patterns in Descriptive Proximity Spaces
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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We discuss some important issues for applications that are related to generalizations of the 1994 approximation space definition [11]. In particular, we present examples of rough set based strategies for extension of approximation spaces from samples of objects onto the whole universe of objects. This makes it possible to present methods for inducing approximations of concepts or classifications analogously to the approaches for inducing classifiers known in machine learning or data mining.