Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Formal reasoning with rough sets in multiple-source approximation systems
International Journal of Approximate Reasoning
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Multiple-source approximation systems: membership functions and indiscernibility
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Classification of dynamics in rough sets
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A study of multiple-source approximation systems
Transactions on rough sets XII
Choice inclusive general rough semantics
Information Sciences: an International Journal
Temporal dynamics in rough sets based on coverings
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Logics for information systems and their dynamic extensions
ACM Transactions on Computational Logic (TOCL)
Categorical properties of M-indiscernibility spaces
Theoretical Computer Science
Dialectics of counting and the mathematics of vagueness
Transactions on Rough Sets XV
Definable and rough sets in covering-based approximation spaces
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
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Approximation Spaces were introduced in order to analyse data on the basis of Indiscernibility Spaces, that is, spaces of the form 〉 U,E 〈, where U is a universe of items and E is an equivalence relation on U. Various authors suggested to consider spaces of the form 〉 U, R 〈, where R is any binary relation. This paper aims at introducing a further step consisting in taking into account spaces of the form 〉 U, {Ri}i∈I 〈, where {Ri}i∈I is a family of binary relations, that we call "Dynamic Spaces" because by means of this generalisation we can account for different forms of dynamics. While Indiscernibility Spaces induce 0-dimensional topological spaces (Approximation Spaces), Dynamic Spaces induce various types of pre-topological spaces.