Discovery of concurrent data models from experimental tables: a rough set approach
Fundamenta Informaticae - Special issue: to the memory of Prof. Helena Rasiowa
Reconstruction of cooperative information systems under cost constraints: a rough set approach
Information Sciences—Informatics and Computer Science: An International Journal
Rough set methods for the synthesis and analysis of concurrent processes
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Synthesis of Petri net models: a rough set approach
Fundamenta Informaticae - Concurrency specification and programming
Discovering Concurrent Models from Data Tables with the ROSECON System
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
On Irreducible Descriptive Sets of Attributes for Information Systems
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Discovering Concurrent Process Models in Data: A Rough Set Approach
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Irreducible descriptive sets of attributes for information systems
Transactions on Rough Sets XI
A Rough Set Approach to Information Systems Decomposition
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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This paper deals with reconstruction of net models of concurrent systems described by information systems changing in time. Constructed net models have the form of coloured Petri nets. Resulting nets are constructed on the basis of decomposed information systems. In many practical cases, a description of modelled systems changes in time. New knowledge about structures and behaviours of systems appears. When new descriptions appear, the net models should be changed taking into consideration the new knowledge. An approach to reconstruction of net models is presented here. One of many possible cases is considered, i.e., when the new global state of the modelled system appears. The ability to compute reducts and components of a new information system, being a new description of a modelled system, in an efficient way is important for reconstruction. Therefore, some propositions and corollaries useful to compute reducts of a new information system on the basis of reducts of an old information system are given. These propositions and corollaries are the basis to formulate algorithms for computing new reducts and components. Moreover, a way to determine the cost of the reconstruction of a net model is given. The cost of the reconstruction is treated as the cost of adding new functional modules, communication lines or their modifications. The discussed approach to model reconstruction extends and refines that proposed by Z. Suraj in 1998. An example is given in this paper to illustrate the presented idea.