Abstract
Intuitionistic fuzzy special sets is a special case of intuitionistic fuzzy sets. In this paper, under the framework of information systems, the relationship between intuitionistic fuzzy special sets and rough sets is analyzed. Based on basic intuitionistic fuzzy special sets of information systems, intuitionistic fuzzy special σ-algebra are generated, and rough sets are embedded in the intuitionistic fuzzy special σ-algebra. Naturally, distances (e.g., Hamming distance or Euclidean distance) of intuitionistic fuzzy special sets in intuitionistic fuzzy special σ-algebra can be used to evaluate predication rules of information systems which is an important subject of rough set theory.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Atanassov, K.T.: Two theorems for intuitionistic fuzzy sets. Fuzzy Sets and Systems 110, 267–269 (2000)
De, S.K., Biswas, R., Roy, A.R.: Some operations on intuitionistic fuzzy sets. Fuzzy Sets and Systems 114, 477–484 (2000)
Bustince, H., Kacprzyk, J., Mohedano, V.: Fuzzy generators application to intuitionistic fuzzy complementation. Fuzzy Sets and System 114, 485–504 (2000)
Coskun, E.: Systems on intuitionistic fuzzy special sets and intuitionistic fuzzy special measures. Information Sciences 128, 105–118 (2000)
Szmidt, E., Kacprzyk, J.: Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems 118, 467–477 (2001)
Davvaz, B., Dudek, W.A., Jun, Y.B.: Intuitionistic fuzzy H v -submodules. Information Sciences 176, 285–300 (2006)
Mondal, T.K., Samanta, S.K.: On intuitionistic gradation of openness. Fuzzy Sets and Systems 131, 323–336 (2002)
Grzegorzewski, P., Mrowka, E.: Some notes on (Atanassov’s) intuitionistic fuzzy sets. Fuzzy Sets and Systems 156, 492–495 (2005)
Deschrijver, G., Kerre, E.E.: On the relationship between some extensions of fuzzy set theory. Fuzzy Sets and Systems 133, 227–235 (2003)
Wang, G.J., Tic, Y.Y.: Intuitionistic fuzzy sets and L-fuzzy sets. Fuzzy Sets and Systems 110, 271–278 (2000)
Pawlak, Z.: Rough Sets. International Journal of Computer and Information Science 11(5), 341–356 (1982)
Duntsch, I., Gediga, G.: Uncertainty measures of rough set prediction. Artificial Intelligence 106, 109–137 (1998)
Pei, Z., Qin, K.Y.: intuitionistic fuzzy special set expression of rough set and its application in reduction of attributes. Pattern Recognition and Artificial Intelligence 17(3), 262–268 (2004)
Gregori, V., Romaguera, S., Veeramani, P.: A note on intuitionistic fuzzy metric spaces. Chaos, Solitons and Fractals 28, 902–905 (2006)
Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems 114, 505–518 (2000)
Li, D.F.: Some measures of dissimilarity in intuitionistic fuzzy structures. Journal of Computer and System Sciences 68, 115–122 (2004)
Li, D.F.: Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences 70, 73–85 (2005)
Wang, W., Xin, X.L.: Distance measure between intuitionistic fuzzy sets. Pattern Recognition Letters 26, 2063–2069 (2005)
Liang, Z.Z., Shi, P.F.: Similarity measures on intuitionistic fuzzy sets. Pattern Recognition Letters 24, 2687–2693 (2003)
Shu, M.H., Cheng, C.H., Chang, J.R.: Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly. Microelectronics Reliability, in press (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Pei, Z., Zhang, L., Chen, H. (2007). Representation of Rough Sets Based on Intuitionistic Fuzzy Special Sets. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-72950-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72917-4
Online ISBN: 978-3-540-72950-1
eBook Packages: Computer ScienceComputer Science (R0)