Some Issues on Extensions of Information and Dynamic Information Systems

The aim of the chapter is to give the basic principles and issues of extensions of information and dynamic information systems. Information systems are understood in the Pawlak’s sense as the systems of knowledge representation. The extensions of information and dynamic information systems can be used in prediction problems. Assuming that objects of an information system represent states of a system of processes we can determine possibility of appearing new states in the system of processes in the future. Analogously, assuming that a dynamic information system includes, among others, information about transition between states of a system of processes, we can determine possibility of appearing new transitions between states in the future.

[1]  Zdzislaw Pawlak Concurrent versus sequential - the rough sets perspective , 1992, Bull. EATCS.

[2]  Krzysztof Pancerz,et al.  Some remarks on computing consistent extensions of dynamic information systems , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[3]  Zbigniew Suraj,et al.  Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach , 1995, Fundam. Informaticae.

[4]  Andrzej Skowron,et al.  On Testing Membership to Maximal Consistent Extensions of Information Systems , 2006, RSCTC.

[5]  Krzysztof Pancerz,et al.  Synthesis of Petri Net Models: A Rough Set Approach , 2002, Fundam. Informaticae.

[6]  Lech Polkowski,et al.  Rough Sets in Knowledge Discovery 2 , 1998 .

[7]  Tsau Young Lin,et al.  Rough Set Methods and Applications , 2000 .

[8]  Sadaaki Miyamoto,et al.  Rough Sets and Current Trends in Computing , 2012, Lecture Notes in Computer Science.

[9]  Zbigniew Suraj,et al.  The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems , 1998 .

[10]  Andrzej Skowron,et al.  Rough sets and concurrency , 1993 .

[11]  K. Pancerz,et al.  Consistency-based prediction using extensions of information systems —An experimental study , 2008, 2008 Conference on Human System Interactions.

[12]  Andrzej Skowron,et al.  Maximal consistent extensions of information systems relative to their theories , 2008, Inf. Sci..

[13]  Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[14]  Zbigniew Suraj,et al.  A New Method for Determining of Extensions and Restrictions of Information Systems , 2002, Rough Sets and Current Trends in Computing.

[15]  Zbigniew Suraj,et al.  Some Remarks on Extensions and Restrictions of Information Systems , 2000, Rough Sets and Current Trends in Computing.

[16]  Zbigniew Suraj,et al.  Rough set methods for the synthesis and analysis of concurrent processes , 2000 .

[17]  Krzysztof Pancerz,et al.  Extensions of Dynamic Information Systems in State Prediction Problems: the First Study , 2008 .

[18]  Krzysztof Pancerz,et al.  On Consistent and Partially Consistent Extensions of Information Systems , 2005, RSFDGrC.

[19]  Krzysztof Pancerz,et al.  Towards Efficient Computing Consistent and Partially Consistent Extensions of Information Systems , 2007, Fundam. Informaticae.