[1] |
Zadeh L A, Fuzzy sets, Information and Control, 1965, 8: 338~353
|
[2] |
Shafer G, A Mathematical Theory of Evidence, Princeton University Press, 1976
|
[3] |
Pawlak Z, Rough sets. International Journal of Information and Computer Science, 11, 1982
|
[4] |
Pawlak Z. Rough set: Theoretical Aspects of Reasoning About Data, Dordrecht, The Netherlands;Kluwer Academic Publishers, 1991
|
[5] |
Slowinski R. Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory, Kluwer Academic Publishers, 1992
|
[6] |
Szladow A, Ziarko Z. Rough Sets;Working with Imperfect Data, AI Expert, July, 1993
|
[7] |
Slowinski R. Rough Set Approach to Decision Analysis, AI Expert, March, 1995
|
[8] |
Pawlak Z, et al. Rough Sets, Communications of ACM, November, 1995
|
[9] |
Zadeh L A, Fuzzy Logic, Neural Networks and Soft Computing, Communications of the ACM, 1994, 37:77~84
|
[10] |
Jelonek J, et al. Rough Set Reduction of Attributes and Their Domains for Neural Networks, Computational Intelligence, 1995, 11(2)
|
[11] |
Plonka L, A. Mrozek, Rule-based Stabilization of the Inverted Pendulum, Computational Intelligence, 1995, 11(2)
|
[12] |
MrozekkA Rough Sets and Dependency Analysis Among Attributes in Computer Implementations of Expert's Inference Models, International of Journal of Man-Machine Studies, 1989, 30;457~473
|
[13] |
Slowinski R, et al. Rough Set Sorting of Firms According to Bankruptcy Risk. In Applying Multiple Criteria Aid for Decision to Environmental Management M. Paruccini, Ed. Klunwer, Dordrecht, Netherlands, 1994: 339~357
|
[14] |
Szladow A, Datalogic /R: Mining the Knowledge in Database. PC AI 1993, 7(1);40~41
|
[15] |
Grzymala-Busse J W, LERS-A System for Learning From Examples Based on Rough Sets. in "Intelligent Decision Support;Handbook of Application and Advances of the Rough Sets theory"edited by R. Slowinski, 1992
|
[16] |
Ziarko W, Variable Precision Rough Sets Model, J. Comput. Syst. Scie, 1993, 46:39~59
|