Abstract
The information system based on sub-consciousness is a new type of information system developed from the incomplete information system by introducing the new concept of sub-consciousness based on the possible relations among the domains of the attributes in the information system. In this paper, we will discuss the knowledge reduction in the information system based on sub-consciousness, we also propose the concept of rationally guided emotional reduction in the information system based on sub-consciousness which is then compared with the rational reduction and the emotional reduction in the information system based on sub-consciousness.
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Z. Pawlak, J.G Busse, R. Slowinski et al. Rough sets. Communications of the ACM, 1995, 38(11): 89–95.
Kryszkiewicz M. Properties of incomplete information systems in the framework of rough sets. In Pollkowski L., Skowron A. (eds.) Rough Sets in Data Mining and Knowledge Discovery, Physics-Verlag, 1998, 422–450.
Kryszkiewicz M. Rough set approach to incomplete information systems, Information Sciences 112(1998), 39–49.
Stefanowski J, Tsoukias A. On the extension of rough sets under incomplete information, On 7th international workshop, RSFDGrC’99 Yamaguchi, Japan, November 9–11, 1999 Proceedings. 73–81.
Wang Guoyin, Extension of rough set under incomplete information systems. journal of computer research and development, 39(10)2002, 1238–1243.
Wei Huang, Cong Liu, Gang Zhang. Information system based on sub-consciousness and its rough set method. Proceedings of ICMLC2004, Shanghai, China, August 26—29, 2004. To be published by IEEE.
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© 2005 International Federation for Information Processing
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Huang, W., Liu, C., Ye, Xp. (2005). A Research on Knowledge Reduction of Information Systems Based on Sub-Consciousness. In: Shi, Z., He, Q. (eds) Intelligent Information Processing II. IIP 2004. IFIP International Federation for Information Processing, vol 163. Springer, Boston, MA. https://doi.org/10.1007/0-387-23152-8_24
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DOI: https://doi.org/10.1007/0-387-23152-8_24
Publisher Name: Springer, Boston, MA
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