Abstract
In this chapter our attempt is to point out different ways of addressing different perspectives of understanding a vague concept from the angle of rough set semantics. In this attempt, we propose to depart from the closed way of presenting information table characterizing a vague concept with respect to a closed sample of objects, a fixed set of attributes, and a static time point. To do that we introduce an interactive information system which is open to incorporate new information based on the interaction of an agent with the physical reality. Moreover, we propose an outline of an adaptive information system which incorporates the possibility of adapting decision strategies based on the history of making decisions over a period of time through interactions of an agent with the physical reality.
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Acknowledgements
The authors would like to thank the referees for their valuable comments which helped to improve the manuscript. This work was partially supported by the Polish National Centre for Research and Development (NCBiR) under the grant DZP/RID-I-44 / 8 /NCBR/2016.
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Skowron, A., Dutta, S. (2018). Adaptive Rough Sets and Vague Concepts. In: Golińska-Pilarek, J., Zawidzki, M. (eds) Ewa Orłowska on Relational Methods in Logic and Computer Science. Outstanding Contributions to Logic, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-97879-6_13
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