A generalized decision logic in interval-set-valued information tables

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1711, Issue , 1999, Pages 285-293

  Yao, Y Y ^a   Liu, Qing ^b  

^a UNIVERSITY OF REGINA   (Canada)

^b NANCHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA MINING; DECISION TABLES; RECONFIGURABLE HARDWARE; ROUGH SET THEORY; SEMANTICS; SOFT COMPUTING;

DECISION LOGIC; INFORMATION TABLE; INTERVAL-VALUED; LOGIC LANGUAGES; SET-VALUED; TRUTH VALUES;

COMPUTER CIRCUITS;

EID: 33845341326     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_35     Document Type: Conference Paper

References (21)

1. Chellas, B.F., Modal Logic: An Introduction, Cambridge University Press, Cambridge, 1980.
2. Klir, G.J. and Yuan, B., Fuzzy Sets and Fuzzy Logic, Theory and Applications, Prentice Hall, New Jersey, 1995.
3. Lipski, W. Jr. On databases with incomplete information, Journal of the ACM, 28, 41-70, 1981.
4. Liu, Q. The OI-resolutions of operator rough logic, LNAI 1424, LNAI 1424, Springer-Verlag, Berlin, 432–436, 1998.
5. Liu, Q. and Wang, Q. Rough number based on rough sets and logic values of λ operator (in Chinese), Journal of Software, 7, 455-461, 1996.
6. Moore, R.E. Interval Analysis, Prentice-Hall, New Jersey, 1966.
7. Nilsson, N.J. Probabilistic logic, Artificial Intelligence, 28, 71-87, 1986.
8. Orlowska, E. Reasoning about vague concepts, Bulletin of Polish Academy of Science, Mathematics, 35, 643-652, 1987.
9. Parsons, S., Kubat, M. and Dohnal, M. A rough set approach to reasoning under uncertainty, Journal of Experimental and Theoretical Artificial Intelligence, 7, 175-193, 1995.
10. Pawlak, Z. Information systems – theoretical foundations, Information Systems, 6, 205-218, 1981.
11. Pawlak, Z. Rough Sets, Theoretical Aspects of Reasoning about Data, Klumer Academic Publishers, Boston, 1991.
12. Pawlak, Z. Rough modus ponens, Proceedings the 7th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 1162-1166, 1998.
13. Pawlak, Z. Data mining – a rough set perspective, LNAI 1574, Springer-Verlag, Berlin, 3-12, 1999.
14. Pomykala, J.A. On definability in the nondeterministic information system, Bulletin of the Polish Academy of Sciences, Mathematics, 36, 193-210, 1988.
15. Prade, H. A computational approach to approximate and plausible reasoning with applications to expert systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-7, 260-283, 1985.
16. Vakarelov, D. A modal logic for similarity relations in Pawlak knowledge representation systems, Fundamenta Informaticae, XV, 61-79, 1991.
17. Yao, Y.Y. Interval-set algebra for qualitative knowledge representation, Proceedings of the Fifth International Conference on Computing and Information, 370-374, 1993.
18. Yao, Y.Y. A comparison of two interval-valued probabilistic reasoning methods, Proceedings of the 6th International Conference on Computing and Information, special issue of Journal of Computing and Information, 1, 1090-1105 (paper number D6), 1995.
19. Yao, Y.Y. and Li, X. Comparison of rough-set and interval-set models for uncertain reasoning, Fundamenta Informaticae, 27, 1996.
20. Yao, Y.Y. and Noroozi, N. A unified framework for set-based computations, Soft Computing: the Proceedings of the 3rd International Workshop on Rough Sets and Soft Computing, 252-255, 1995.
21. Yao, Y.Y. and Zhong, N. Granular Computing Using Information Tables, manuscript, 1999.