Rough set approach to incomplete information systems
作者： M Kryszkiewicz
DOI: 10.1016/S0020-0255(98)10019-1
关键词:
摘要: … In the paper we present Rough Set approach to reasoning in incomplete information systems. We propose reduction of knowledge that eliminates only that information, which is not …
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sci-hub.se 参考文章(11)
Marzena Kryszkiewicz, Generation of Rules from Incomplete Information Systems european conference on principles of data mining and knowledge discovery. pp. 156- 166 ,(1997) , 10.1007/3-540-63223-9_115
Andrzej Skowron, Zdzisław Pawlak, A rough set approach to decision rules generation ,(1993)
Andrzej Skowron, Management of Uncertainty in AI: A Rough Set Approach Workshops in Computing. pp. 69- 86 ,(1994) , 10.1007/978-1-4471-3242-4_6
Andrzej Skowron, Cecylia Rauszer, The Discernibility Matrices and Functions in Information Systems Intelligent Decision Support. pp. 331- 362 ,(1992) , 10.1007/978-94-015-7975-9_21
Zdzisław Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data ,(1991)
Roman Słowiński, Jerzy Stefanowski, Handling Various Types of Uncertainty in the Rough Set Approach Rough Sets, Fuzzy Sets and Knowledge Discovery. pp. 366- 376 ,(1994) , 10.1007/978-1-4471-3238-7_43
Roman Slowinski, Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory Kluwer Academic Publishers. ,(1992)
Roman Słowiński, Jerzy Stefanowski, Rough classification in incomplete information systems multiple criteria decision making. ,vol. 12, pp. 1347- 1357 ,(1989) , 10.1016/0895-7177(89)90373-7
Witold Lipski, On semantic issues connected with incomplete information databases ACM Transactions on Database Systems. ,vol. 4, pp. 262- 296 ,(1979) , 10.1145/320083.320088
Marzena Kryszkiewicz, Rules in incomplete information systems Information Sciences. ,vol. 113, pp. 271- 292 ,(1999) , 10.1016/S0020-0255(98)10065-8