Abstract
The notion of information system homomorphism as a powerful tool to study the relation between two information systems was introduced by J.W. Grzymala-Busse. In this work, we will present some characteristics of information system homomorphism, which reveal the interdependence of the three mappings, namely, object mapping, attribute mapping and value domain mapping. Besides, given a partition on universe, we can derive a new information system homomorphism defining a partition on universe identical with the partition given. In the mean time, some invariant characteristics of upper approximation and lower approximation under information system homomorphism are investigated. At last, we establish a surjection between rough sets of information systems under an information system homomorphism.
Similar content being viewed by others
References
Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(5), 341–356 (1982)
Orlowska, E.: Rough set semantics for non-classical logics. In: Ziarko, W.P. (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery, pp. 143–148. Springer, London (1994)
Pagliani, P.: Rough set systems and logico-algebraic structures. In: Orlowska, E. (ed.) Incomplete Information: Rough Set Analysis, pp. 109–190. Physica-Verlag, Heidelburg (1997)
Cattaneo, G., Ciucci, D.: Algebraic structures for rough sets. Trans. Rough Sets 208–252 (2004)
Yao, Y.Y., Lin, T.Y.: Generalization of rough sets using model logic. Intell. Autom. Soft Comput. 2, 103–120 (1996)
Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets. Int. J. Gen. Syst. 17, 191–209 (1990)
Yao, Y.Y.: A comparative study of fuzzy sets and rough sets. Inf. Sci. 109, 227–242 (1998)
Cornelis, C., Cock, M.D., Kerre, E.E.: Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge. Expert Syst. 20(5), 260–270 (2003)
Wu, W.-Z., Zhang, W.-X.: Connections between rough set theory and Dempster-Shafer theory of evidence. Int. J. Gen. Syst. 31(4), 405–430 (2002)
Yao, Y.Y.: Interpretations of belief functions in the theory of rough sets. Inf. Sci. 104, 81–106 (1998)
Andrzej, C.: Speaker-independent recognition of isolated words using rough sets. Inf. Sci. 104, 3–14 (1998)
Hamid, M., Jerzy, W.G., James, A.B.: Entropy of English text: experiments with humans and machine learning systems based on rough sets. Inf. Sci. 104, 31–47 (1998)
Ahn, B.S., Cho, S.S., Kim, C.Y.: The integrated methodology of rough set theory and artificial neural network for business prediction. Expert Syst. Appl. 18(2), 65–74 (2000)
Hong, T.P., Wang, T.T., Wang, S.L., Chien, B.C.: Learning a coverage set of maximally general fuzzy rules by rough sets. Expert Syst. Appl. 19, 97–103 (2000)
Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic, Dordrecht (1991)
Grzymala-Busse, J.W.: Algebraic properties of knowledge representation systems. In: Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, Knoxville, pp. 432–440, 1986
Grzymala-Busse, J.W., Sedelow, W.A. Jr.: On rough sets, and information system homomorphisms. Bull. Pol. Acad. Sci. Tech. Sci. 36(3–4), 233–239 (1988)
Li, D.-Y., Ma, Y.-C.: Invariant characters of information systems under some homomorphism. Inf. Sci. Int. J. 129(1–4), 211–220 (2000)
Düntsch, I., Gediga, G.: Uncertainty measures of rough set prediction. Artif. Intell. 106, 109–137 (1998)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhai, YH., Qu, KS. On Characteristics of Information System Homomorphisms. Theory Comput Syst 44, 414–431 (2009). https://doi.org/10.1007/s00224-007-9076-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00224-007-9076-8